neural

It seems that today, something is wrong with your own neural, no tweaking, the last few days to the shaping of dies, just works account.

Neural implants may within a few years be able to increase intelligence or to speed up reflexes.

the intriguing question is to which extent the neural approach proves to be better suited for certain applications than existing models.

A-OIC was the only surgeon capable of the exacting neural restructuring that Guri needed.

Neural electrodes may eventually move up the spinal cord to what is often characterized as the body's primary erogenous zone.

In practice, we still can only use artificial neural network as a copper price forecasting methods one of which should not be the only one.

And on the basis of it, a neural network optimal design method based on orthogonal experiment method is carried out.

The trained neural network model of this system, network model after training of can be able to predict water quality of the breeding ponds.

The results are also easy to check and play an important role in the design and application of exponentially stable fuzzy neural circuits.

The goal is to see how sharing a new and challenging experience with a spouse changes the neural activation of the brain.

A hybrid Neural Networks have been developed and the simulation techniques have been used to solve complex group scheduling problems.

He eventually died of a combination of liver disease and a neural illness that gradually paralysed his body, starting with his feet.

Theoretically, it could be re-created on a neural network, but that would be very difficult, as it would require all one's memories.

However, a little less than half of these cells had a more consistent neural response to all events, whether big or small.

Although other techniques are coming into the spotlight (noticeably Neural Networks), the minimax tree is at the heart of the best programs.

At last great amount of data were collected for training the neural network to obtain a forecasting model which had a high accuracy.

He said his study was a small piece amid a growing body of literature "regarding the neural consequences of overeating" .

Moreover, the rats' behavioral perturbations were reflected by a pair of complementary changes in their underlying neural circuitry.

In the 1990s, improving your neural networks might have seemed as simple as popping a ginkgo supplement and opening up the Sunday crossword.

This caused the traditional neural network algorithm to be unable to carry on the adjustment well to the bias noise.

Multi-electrode Array has a plastic chamber, in which both brain slice and neural-network in vitro can be cultured on the surface of MEA.

There must be common neural mechanisms between the co-existing phenomena, and there must also be unique neural mechanisms in the drugs.

Artificial Neural Network (ANN) is capable of dealing with non linear problems and of fault tolerant. It can be used for on line response.

He shifted his focus to the sea slug Aplysia, a model in which the neural pathway of a simple reflex could be delineated.

The improved gradient descent algorithm has been used to train the wavelet neural network.

These results support the hypothesis that the neural representation of shape in LOC is an intermediate one, encoding the parts of an object.

We have explained the basics of the neural net in a way that should allow you to begin to apply them in your own coding.

About 20 per cent of the former skin cells transformed themselves into neural cells in less than a week.

For a more relevant test of Psyco, I dug up some neural network code that I had written about in an earlier article (see Resources).

Some courses from neural science, psychology, sociology, and education can be applied to the minor as well.

The therapeutic effects of neural stem cells in cerebral infarct have been a key point in the researches.

while neural network does local ones, which acts as a fine optimizing or on-line studying process.

Scientists are asking whether spirituality can be explained in terms of neural networks, neurotransmitters and brain chemistry.

The simulation tests show that the single neural adaptive PID control has no overshoot and is more speedy.

Finally, wavelet analysis and neural network theory are used to analyze the acceleration signals to determine the direction of car crash.

Precisely how these critical branch-like structures grow to avoid such trespassing has been a mystery of neural development.

They would also like to use brain imaging to see how neural activity compares with the observed behavior of the arms.

Considered a renegade by his peers, Nobel Prize-winner Eric Kandel used a simple model to probe the neural circuitry of memory.

Therefore, reliable propagation is one of the key properties of a candidate neural code.

It's of great significance to further the research of the neural mechanism to understand the "cocktail problem" .

Such a decrease reflects an increase in neural activity, suggesting that their mirror systems are activated more strongly .

Such a "neural prosthesis" could someday be used to facilitate the memory-forming process and help patients remember.

Artificial neural network is one of information precessing techniques which have been developing rapidly recent years.

C---Dr Cohen reasoned that this inconsistency might reflect the influence of different neural systems in the brain.

We believe that this artificial neural network and soft sensing technique will become part of the development in sewage treatment.

The Bayesian and neural network classification methods are widely used for automatic and supervised image segmentation.

A neural net that uses this rule is known as a perceptron, and this rule is called the perceptron learning rule.

In this paper, a new neural network consisting of a Self-organizing Feature Map Neural Network and a Tree-based Neural Network is proposed.

Conventional neural network is always complicated and its stability often suffers from the effect of initial weight value selecting.

The condition for a fuzzy neural network to realize memory is discussed, and the concept of lattice point is given.

Artificial Neural Network is one of the efficient information processing method in studying the sophisticated systems.

The total torque requirement is calculated by a nonlinear auto-regression with exogenous input (NARX) dynamic neural network model.

The procedure neural network was proposed to identify the parameters for a time-varying three degrees of freedom system in the paper.

Conclusion the research suggested that degeneration of neural elements in cochlear should be one of the major reasons for presbycusis.

There are many limitations with the current way we try to understand neural circuits, primarily the lack of specificity.

It might be possible to develop therapeutics that target neural networks for the treatment of inflammatory disorders.

The aim of this research is trying to solve the problem of local minimum while neural network is used in the real application.

The book has numerous up to date applications in game programming, intelligent agents, neural networks, artificial immune systems, and more.

Neural network (NN) has recently applied to mobile robot control due to its universal mapping property, and the result will be satisfactory.

What has remained unclear is whether these same neural mechanisms scale up to enable maneuvers as graceful as, say, a pirouette.

Such growth is critical for the neurons to establish and maintain connections with one another in the brain's neural circuitry.

But Kinsley and Meyer point out that the brain works like a "neural beehive, " and disturbing one part of the hive could impact the other.

Using this method, the data set of neural network model is selected, and the result of selection is primarily validated.

As a real-time QP solver, a LVIbased primal-dual neural network was developed with a simple piecewise-linear structure and highe.

Traumatic neuroma is not a true neoplasm but a neural reaction subsequent to damage of the peripheral nerve.

but as a good optimization method , the researches on using tabu search as the learning algorithms for fuzzy neural networks are very few.

This paper sets up the model of artificial neural network for acoustic direction finding systems of targets used in the battle field.

It may have neural protective effects, and thus may be a suitable anaesthetic adjuvant to neurosurgical anaesthesia.

Neural network model is an effective data processing method, but it has a shortcoming of difficult structure confirmation.

Feedforward fuzzy neural network is the result of organically integrating fuzzy technology and feedforward neural network.

Neural network ensemble is the international machine learning and neural computation of a very active academic research focus.

Once be trained, the neural network model can be used during microwave design to provide instant answers to any pre-assigned task.

By manipulating the amount of money on offer in each situation, Cohen and his collaborators could watch this neural tug of war unfold.

The results have confirmed the validity of neural networks used for this type of application.

Meanwhile, human brains turn out to be extremely permeable (they naturally mimic the neural firings of people around them).

This paper researched on a class of compound fuzzy neural network and made a variety of improvements.

BP network is a feedforward neural network practiced by back propagation algorithm, is one of neural network modes applied widely.

Recently, implantable neural microelectrode has been a new exciting field in neural science and microelectronics.

Grey prediction was dominated in the method, the neural network was used for compensating the prediction.

Ledoux concluded that the neural connections in which memories arestored have to be rebuilt each time a memory is recalled.

One question, for starters, is what might happen if that "neural network" were to go haywire, or be sabotaged.

By linking the side neurons, some lines are formed. Each line becomes an internal net of the hierarchical self organizing neural network.

We sought to compare the efficacy of these two methods of monitoring to detect impending iatrogenic neural injury during scoliosis surgery.

The authors studied the feedback neural network applied to image reconstruction from a few projections.

When the neural tube does not close properly, a baby is born with a very serious birth defect called a neural tube defect.

As the patient comes to grip with the issue, they start to feel better because during this process, new neural connections are being made.

The Compensated Fuzzy-Neural network algorithm and the rules of the fuzzy control are applied to the system.

The neural network model contains the feedback of the state neurons and takes the form of state space representation.

It is the current research direction to set up the neural network expert system of judging the abnormal state of blast furnace .

The early literatures have shown that the research difficulty in Delayed Cellular Neural Networks is much more than non-delayed one.

Social values, real as they are, depend on an evolutionary modification of the neural circuitry involved in basic survival.

The text proposed the temperature compensation with the artificial neural networks to it the software compensation technology.

The objective of the research is to set up the curing deformation prediction model of composites based on artificial neural network.

Therefore, manpower planning is an urgent task. The artificial neural networks can be used to predict.

They identified two distinct neural networks involved in processing the movement transition, located in two separate areas of the brain.

An improved algorithm in neural network(NN) data pretreatment was presented. By testing, the data pretreatment method is better than before.

In vertebrates, neural control of this system is funneled through the hypothalamus to the anterior and posterior pituitary gland.

Furthermore, when he severed the nerve connecting the gut and brain in a control group of mice, these neural changes disappeared.

But until now, few groups have considered how neural devices might be hijacked to perform unintended actions.

It has much practical significance. Artificial neural network technology is a hotspot in intelligent information processing field.

The etiology of DGE is not clear. At present, most researchers thought it is the result of neural and humoral factors working together.

Computer vision and artificial neural network technologies were synthetically applied to automatic classification of potato quality.

It is the result of incomplete disjunction of the cutaneous ectoderm from neural ectoderm during the process of neurulation.

Neural network method was used to investigate the parison swell affected by the die temperature and extrusion flow rate.

most scientists agree that the larynx (voice box), laryngeal muscles, and a neural oscillator are involved.

On this basis, the artificial neural network model and system architecture of the ventilation systems evaluation is established.

A neural network was used to express the nonlinear function between input and output of the inverse kinematics of the robot.

But that pain is just an illusory side-effect of our confused neural receptors. There is nothing "hot" about spicy food.

But until now, researchers had considered general intelligence too basic to be affected by such relatively small neural adjustments. Dr.

The method can be extended to more types of neural networks, provide a reliable basis for the neural network hardware implementation .

The good news, Fan said, is that the neural stem cells in their study did not share any abnormal characteristics associated with cancer.

After the heart rhythm restores, may stop using or change the oral administration. 2. neural paralysis not specific treatment method.

The merits and limitations of genetic algorithms used in optimizing the connection weights of the neural network are discussed.

Furthermore, we investigate the synchronous behavior of a neural network after learning at various developing stages .

First is a consideration of how the acoustic properties of the signal affect the neural mechanisms and brain regions engaged.

State two neural mechanisms that have been hypothesized to account for the plasticity of auditory cortex mappings.

Maher found that some of those compounds, including fisetin, induced differentiation or maturation of neural cells.

A simplified adaptive neural network (NN) stabilization algorithm is proposed for a class of output feedback nonlinear time-delay systems.

However, The knowledge learned by a trained neural network is difficult to understand.

The paper is devoted to the exponential stability of a class of neural networks with both discrete time-varying and distributed delays.

The shell coefficients are used as features to input into a feed-forward neural network to recognize the handwritten numerals.

This involves neural pathways being opened up, which extends the capacity to think and opens access to differing avenues for thought.

At last, the system modeling the uses action by Neural Network to forecast which kind of webs will the users view for some time.

It is one of the important methods of pattern recognition to apply neural networks to target classification.

Why would dysfunction of a basic process found in many cell types selectively affect the neural circuits involved in speech fluency?

Artificial neural network is an effective means for quantitative electromagnetic nondestructive testing.

The next step, Dr. Perello said, is to determine which neural circuits in the brain regulate ghrelin's actions.

Disorders include amyotrophic lateral sclerosis, chorea, epilepsy, myasthenia gravis, neural tube defect, parkinsonism, and poliomyelitis.

Then the paper proposes a brand new neural network, termed dyadic network, and a brand new fuzzy model, termed dyadic fuzzy system.

The calculation model for predicting rubber aging properties was derived by means of neural network method.

The application example showed that the rough neural network is an efficient and feasible algorithm to discrimination of air pollution.

A global pattern of decreased neural connectivity between the frontal lobes and the rest of autistic brain showed up on the alpha wave band.

This paper studies Bayesian neural network in power load forecasting, load forecasting power of the basic concepts and methods.

Artificial neural network has good nonlinear mapping and a high degree of parallel processing of information capacity.

Based on a 3-layer BP artificial neural network and the layered elastic moduli was back calculated by the surface deflections.

Furthermore, an optical fiber sensor model of correcting static error based on BP artificial neural network (ANN) is set up in this paper.

A method for predicting product-yields of naphtha steam cracking was established by means of BP neural network model.

Normally, the neural crest cells crawl through the embryo and form a strip running along the back.

Objects (1)To investigate the general distribution and environmental risk factors of neural tube defects in Guangxi province.

As the advantage of this neural network is introduced, some hot potatoes are also discussed.

In the other side, since the frost heave is a strongly non-linear problem, the neural networks prediction model is established.

After 32 days, some of the former skin cells had acquired the appearance of nerve cells and were producing neural proteins.

We then consider some of the possible neural substrates involved in these processes, particularly basal ganglia circuitry.

Thermal resistance characteristics of the establishment of neural network model for automatic temperature measurement system is important.

The damped least square method was applied in both identification of the linear model and study of the neural network.

This paper simply introduces the basic theory and arithmetic of the fuzzy neural network on which the GCAQBP model established.

The experiment results show that wavelet neural network has the better ability to the fine structure difference between the spectra.

The model combines the advantage of genetic algorithms and neural network. It is of better performance, faster speed and high accurate.

The simulating results indicated that the synaptic delay happened evidently when neural signals were passed through the chemical synapse.

Authors speculate: infection of fetal neural development, cortical neurons in patients with schizophrenia, the disturbance of the structure.

The neural network has a good nonlinear function approximation capability, which can be used in NC machine error identification.

Simplifications can be useful, especially when they serve as a model, in this case, for implementing cybernetic neural nets.

In this method a wavelet neural network model is built, through a gradient descent error algorithm, the network updates its parameters.

Finally, the damage degree is determined by radial basis function neural network with input of the change rate of squared modal frequency.

Constructs the description model of environment and obstacle with neural network. Asks for the best path with immune evolution algorithm.

An artificial neural network based expert system has been developed and is applied to aircraft turbofan engine fault diagnosis.

Neural stem cells (NSCs) have the ability of highly self-renewal and can be differentiated into neurons, astrocytes and oligodendrocytes.

Even though this picture is a simplification of the biological facts, it is sufficiently powerful to serve as a model for the neural net.

The simulation results show that the training time of neural network with processed samples is sho . . .

Pattern recognition criteria for biological neural signals are given and the system is applied in practical applications.

This neural reaction is mostly involuntary, the inevitable response to any screw-up.

If the training data and diagnostic data used in neural network diagnosis have redundant information, it will affect the diagnostic ability.

Cell adhesion molecules play important roles in immunological reaction, hematopoiesis, extremity development and neural system development.

As a fast and accurate modeling tool, neural network has been applied to electromagnetic engineering computer-aided design.

Neural networks are utilized to combine these descriptors in a way to discriminate members of a given fold from members of all other folds.

The EEG sensors will read the soldier's neural responses to potential threats, and then the readings will educate the system's algorithms.

Defining neural circuits is still "the holy grail of neuroscience, " says Eve Marder at Brandeis University.

Neural network system is applied to an expert system for the compressor fault diagnosis of vehicle's air conditioning.

The application of neural network models has proven that the predicted results of structure and properties can be improved.

Parallel genetic algorithm was applied to optimization of BP neural network and its initial weights.

This paper presents a Time-Delay Recurrent Neural Network (TDRNN) for exo-atmospheric ballistic space infrared target discrimination.

Neural network was used to design suspension damping PID controllers whose parameters were optimized on line.

Methods Conventional culture method of neural stem cells and immunocytochemistry were used to identify the cells.

Future investigations of the circuits involved in neural inertia may give the anesthesiologist more control over anesthesia at the bedside.

Other " disinterested " neurons became quiet during the maze run, perhaps so as not to bother the critical neural signals.

The result showed that the granule might work as a certain gastric motility through inhibiting the dopaminergic neural system.

The neural network can be used to predict human psychological perceptions of clothing sensory comfort.

The paper presents a novel algorithm to design optimal parameters of a gray morphological filter with neural network.

The BP neural network was used to the bicycles'decision-making model, enriching the micro-model of mixed traffic flow.

This paper covers an analog compound orthogonal neural network controller and its application to two closed-loop DC speed governing system.

In addition, it does not require the time-consuming training process offline and saves the time of neural network training.

A neural network typically consists of a number of interconnected processors, or nodes.

Neural network methods to determine the optimum excess air coefficient are tried to be used.

To describe the complex relations more reasonably, the artificial neural network (ANN) theory is applied to spot welding process modeling.

In this paper the RBF neural network is applied to predict the cost of the solid rocket motor.

Secondly, we proposed an adaptive scheme for the synchronization and stabilization of time-delayed neural networks with unknown parameters.

And the intelligent optimizing network can be classified as genetic algorithm network, neural risk element network and risk neural network.

Results The precision of the Bayes and neural network algorithms is better than the decision tree algorithm.

But until now, few groups have considered how neural devices might be hijacked to perform unintendedactions.

BACKGROUND: Differentiation inducing factors and gestational age influence the differentiation potential of embryonic neural stem cells.

Neural Network, as an important part of AI, is fit for the solution of complex clustering which with mass parameters.

This paper introduces a detection algorithm for the ship fire based on fuzzy inference system, neural network and genetic algorithm.

For the UCI study, multipotent human neural stem cells were transplanted into the brains of rats that had undergone radiation treatment.

A new neural network algorithm with fuzzy logic compensation was proposed and applied to an aero- engine rotating speed control system.

Yang confronted the HRD while she was about to undergo the neural reprogramming.

A competitive neural network with a combination of BP network, neural network and expert system combining ideas.

Recognizing the smashed-coal-images and block-coal-images was simulated with a probabilistic neural network.

Skeletal muscle tissues were used to induce the neural stem cells to differentiate into motor neurons like cells.

This type making policy with being helpful to a artificial neural networks from object faces the abstract thinking type evolution.

The multi-information influencing the fermentation process is fused by Neural Network to obtain the predicting of the fermentation output.

Thus it is proposed that the error grade iterative BP neural networks method be applied to the asphalt mixtures shearing strength forecast.

The emergence of neural network provide effective tools for a system with highly nonlinear input-output relations.

It's a neural system that's wired up to reward the brain for doing a grubby clerical job.

The method of it is to apply rough set and neural network to fault diagnosis of aluminium electrolysis.

A non gradient neural network is presented for solving a kind of the general linear complementarity problem.

The results show that the neural network can provide effectively research for the anti-vibration efficiency of vehicle front suspension.

As an anesthesiologist, Dr. Kelz sees a key function of neural inertia, namely keeping the patient unconscious.

Conclusion BP artificial neural network can be used to forecast for disease incidence or mortality.

The genetic and neural circuit bases of these innate social behaviors are poorly understood.

Results of the simulation show that the accuracy is higher than any of traditional Neural Network.

an application of neural net on attribute reduction is proposed, by which, to a greater extent, the overfitting in boosting is avoided.

Conclusion: SHH can enhance neural stem cell proliferation capacity, and promote it to differentiate into neuron and oligodendrocyte.

The experimental results show that wavelet neural network is an effective method in signal denoising of ultrasonic detection.

Through taking the database of the test as the example of neural network training samples, we obtain statistical analysis data.

The director of the Center for Neural Engineering at Penn State University said a small amount of fluid surrounding the brain is normal.

With continuous development of computer technology, neural networks as a data-processing structure emerge as the times require.

Cutting the hippocampus slices just right to keep the neural pathway intact was also difficult.

Over time, the neglected eye fails to forge a proper neural connection with the brain, and therefore delivers poor vision for life.

at last the practicality and validity of neural network PID controller is proved by the experiment that the water temperature is controlled.

BP neural network is a very new subject. It consists of computer science, biology, recognition science, physics, mathematic and others.

A fuzzy neural networks consisting of two nets was applied to chromosome recognition in this paper.

The corrosion of carbon steels in the oil field soil and its influencing factors were studied with artificial neural network technique.

It would be impossible to track all the neural adjustments marking every new condition, Helmstetter concedes.

ADALINE neural network algorithm for the realization of the traditional algorithms for optimization!

Macroscopic examination reealed no ectopic bone formation or differences in neural compression among the groups.

This means they would be collectors, generators and distributors of the neural organ.

The results demonstrated that the proposed method has better explanation and robustness, compared with the BP neural network based method.

BP neural network, as its nature of gradient descent method, is easy to fall into local optimum.

The methods followed are stepwise linear discriminant analysis (linear analysis) and artificial neural network (nonlinear analysis).

Then, the Bayesian neural networks were used to predict the plasticity coefficient of strips.

Two weeks after lesion or sham surgery, they injected human neural stem cells into the left side of each rat's spinal cord.

Then further study is stretched out of the blade extruder energy consumption , based on the experimental and neural network model .

The quantum neural computation ise burgeoning new technical theory, which combines quantum computation with classical neural computation.

Immunofluorescence was applied to identify the neural stem cells and their potential of differentiation.

It has become a hot topic in the application of Artificial Neural Network (ANN) and Genetic Algorithm (GA) to solute concrete structure.

They're asking researchers to batter and overload the neural platforms, to figure out where vulnerabilities can be detected.

The end of the test, you no longer use this neural "trough" , over time, it gradually disappeared.

Crudely put, the brain's neural networks can be thought of as electrical circuits.

The adaptive distributed learning rate of neural networks is developed to increase the learning speed and performance greatly.

This establishes a boundary condition constraining theoretical models for the neural basis of multiple sensory interactions.

The predominant feature of the mould is the hybrid approach which combines expert system technologies and neural networks techniques.

The research of this paper laid the foundation for understand the method of information processing and neural encoding mechanism.

Another is to examine faults of asynchronous Motors in terms of BP neural network based on Particle Swarm Optimization(PSO).

Artificial neural network was taken for a objective and practical method in matter classification.

Neural network can be a useful measure to forecast the property of anticorrosion coating.

For the uncertain characteristics of SPECT images, it is hard to achieve good segmentation result if only the BP neural network is employed.

It was clinically testified that supplement of folacin for neural tube defect prevention is efficient for women of childbearing ages.

Methods employed include documentation analysis, the coordinated development degree model analysis and BP neural network model analysis.

Artificial neural network(ANN) and its application inthe anaerobic digestion process are reviewed.

Car used to enhance learning (Q learning), using neural network Q function approximation.