network model

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

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

Conclusion The network model, with a high accuracy and a low error rate, is applicable to facial skin image quality appraisal.

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

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

Iridium constellation is adopted as the simulated network model architecture. The performances of this algorithm are analyzed and compared.

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

The Boolean network model allows genetic data to be integrated into the logical network of connections deduced from DNA microarray data.

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

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

Network model illustration was used to describe these systems on the basis of analyzing the characteristic of subsystems.

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

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

This paper focuses on the region distribution network and its network model and network topology for the digital power system.

Systems which provide users with a network model of the data run into similar difficulties.

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

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

Neural network model is integrated with an effective genetic algorithm to find the optimum process parameter values.

Meanwhile, a linear regression model and a BP neural network model for predicting the springback quantity were set up.

Objective To make a research into the application of artificial neural network model in intestinal cancer.

These conclusions were obtained: The whole accuracy of BP neural network model is better than the factor analysis e model.

Lastly, we do a research on the application of the neural network model of rolling force to load distribution optimization for cold rolling.

The author uses of the former two chapters on the technical and configuration program, and completed the entire campus network model.

The chaotic sequences are very easily generated by changing weights of neural network model, and their number is large.

The BP network model established ultimately provides some help for selecting construction parameters of dynamic compaction.

The distribution network model is good to reduce distribution costs, integrate resources and improve delivering efficiency.

Thus, a modified BP neural network model was established for groundwater environmental vulnerability evaluation.

The key problems of vehicle navigation dynamic path planning are traffic network model, path planning algorithm and traffic flow prediction.

Since this network model experiment volume calculation so this paper selection procedures to complete experiment designed.

In the federated network model, each partner in a trusted federation is granted access to the shared resources.

The test result indicated the fitting precision of freeform surface was enhanced distinctly by this network model.

One five-layer fuzzy neural network model was built for the forecasting COD of papermaking wastewater treatment process.

In other words, the scarcity assumption has disappeared, which poses a challenge to the telcos' "Intelligent Network" model.

Finally, verify the prediction accuracy of BP neural network model and the validity of the new indicator system through examples.

This paper presents a fault diagnosis method that an improved BP neutral network model is applied to CNC machine.

An automata network model is a powerful modeling tool in complex systems. The key character of the method is a bottom-to-up way.

Network graphs display the delay propagation directly along the tracks in the network model.

It is proved that the neural network model is an effective model to describe the nonlinear behavior of pilots.

A multistage neural network model for unconstrained handwritten numerals recognition is proposed, which is composed of many stages.

In this paper, a general closed-loop supply chain network model including manufacturers, retailers and consumers is developed.

The random network model is widely used in analysis of the complex network.

The main factors that impact the capability of spark ignition are discussed, and the BP neural network model is established.

Experimental results indicate that the expanded model has better retrieval performance than the basic belief network model's.

The multicast model is similar to the network model in that each peer maintains its own directory.

In the third chapter, we studied cognitive radio network architecture and put forward a new network model with a spectrum sensing layer.

The mean field annealing approach is a new neural network model, which improves the simulated annealing approach greatly.

For the two dimension static network model, we design multi-level energy deployment strategy.

The result indicated that improved RBF neural network model could predict mechanical indexes of clay material quickly and accurately.

This paper presents an artificial neural network model to predict the rolling force to control hot-rolled strip strip thickness.

Linear models mainly include the factor analysis model and the trend surface model. And nonlinear models include BP neural network model.

At last, the neural network model will be optimized through the generic algorithm. The results are satisfactory.

BP neutral network model improved the accuracy of regression model in predicting soil detachment rate in every type of road.

An artificial neural network model for numerical simulation of the mold filling process of EPC was established.

A structural neural network model for the identification of nonlinear characteristics of vibration sactern is presented in this paper.

A neural network model for the prediction of yields and properties of pyrolysis products was developed.

Then a point to point wireless network model is simulated on OPNET and the analysis of the simulation result is given.

The optimal neural network model is developed using only simple input data of SPT -N values and piles' geometrical features etc.

This paper proposes a method of using neural network model reference adaptive controller to control machining process.

In this paper, we gave a new complex network model and stationary degree distribution to describe the computer network.

This framework includes two components: the network model calibration and the traffic model calibration.

Assignment problems are solved by a neural network model with transient chaos (TCNN).

The pore-network model is one of the most important methods for modeling porous media pore space.

We present a conceptual network model for the organization of courseware and the related information.

Amaral and Waitzman say this network model could be also used for nonsoccer tasks, such as evaluating teammates on a group work project.

The study of complex network model mechanism and evolution can reveal common law in nature, biology, engineering and human society.

The three-dimension network model proposed in this paper can be generalized to the condition of multi-dimension.

Some improvement has been made on fault diagnosis of the current centralized Bayesian network model.

To solve some knotty problems in sonar target detection measures, a new compound deciding network model is proposed.

A real-time obstacle avoidance neural network model was created according to the real working environment of deep-seabed vehicle.

The fuzzy-RBF neural network model was applied for the actual load value of Tianjin Natural Gas Company to predict.

BP neural network model is based on the general test equipments, less test datas and not relevant to the engine's mathematical model.

The results show that BP neural network model can finish the early-warning work.

BP neural network model for leather handle property classification was set up after the characteristic parameters were selected.

Perceptron is a kind of useful neural network model and can classify the classification of the detachable linearity correctly.

The network model had the good extension and the application prospect, suited to modeling for great sample.

The method that uses the reluctance network model to imitate the generator rotor inter turn short circuit fault has been put forward.

Network model: geographical objects have been abstracted by chain and node etc. , pay attention to the connective relationship among them.

Then the graph was given the network model and the contact relationship of parameters and components were input.

Finally the paper evaluates the performance of the synergetic innovation of the industrial cluster based on the MDEA and BP network model.

A simplified radio network model has been established to fit the requirement of the remote test system.

According to the Top-down principle, a network model based on the ISO standard is established and its primary top level data flow is given.

We established neural network model and trained, on the basis of trained model, forecasted the risk.

It is an artificial neural network model, the ideal simulation speed thus is ensured.

Based on the simple local-world evolving network model, we propose a local-world evolving growth model of the complex supply chain network.

A new evolutionary neural network model combining the fuzzy C-mean and the evolutionary algorithm is presented.

The network model effectively solves the problem of transmission direction as assigning time slot.

StanChart, for its part, has pushed the network model towards investment banking.

The back propagation (BP) neural network model of 5-degree of freedom (DOF) upper limb rehabilitant robot was built.

Routers operate at the network layer in the network model, one step above Ethernet.

Based on a laboratory experiment of cooperation in public goods dilemma, the paper establishes a BP neural network model.

the other is training neural networks, and then uses the trained network model to forecast.

This article develops an auto-regressive radial basis function (AR-RBF) neural network model based on the standard RBF neural network model.

According to the trait of power load, this paper proposes a PSO based fuzzy neural network model for short-term load forecasting.

A three-dimension mean-field neural network model is proposed to solve the problem based on the two-dimension mean-field neural network.

In this paper the working principle and network model for open cycle thermoacoustic system are mainly described.

A practical manual neural network model was designed to make the location of target and predication.

The empirical result shows that the neural network model can reach 88% accuracy rate.

In this paper, we propose a new network model-self-similar circumfluent network.

This paper mainly uses mind mode programming to realize arresting bottom data packers in the P2P network model.

The neural network model was generalized by using superimposed noise.

A fuzzy neural network model based on entropy clustering is applied to analyze shaft parts.

Fir stly, the nerve cell, the neural network model are proposed, and the information transfer process is analysed.

Study results: 1. we proposed a cognitive radio frequency spectrum detection layer network model to solve the hidden terminal problem. 2.

A new method is put forward to detect and locate the gas pipeline leakage, which designed a dynamic network model DRNN.

METHODS: According to the phasic characteristics of forming recipe, a local network model for monitoring therapeutic recipe has been set up.

At the same time using artificial neural network model modifies the results of fuzzy analytic hierarchy model and tests reliability results.

Scale-free network model is used as a form of the structure of information fusion systems for the first time.

The the second part centers on the new network model name Service-Oriented Network (SON).

It is shown that BP neural network model make use of various data and can effectively improve reliability and accuracy of forecasting.

The precision of network model which is affected by the temperature and the strain rate are analyzed.

This paper builds a 5-13-7 neutral network model with the relation between the malfunction gas and the malfunction kind in the transformer.

According to the index system that has been already set up, design the BP neural network model, and present the doable evaluating programs.

A novel artificial network model based on fuzzy-rough set for gas emission forecasting of coal is proposed in the paper.

ResultsThe forecasted and measured value of glycyrrhizic acid contents were the same as BP neural network model.

Based on a lot of experimental data and the back-propagation algorithm, a B-P neural network model on the relationship was established.

A compromise can be made by the artificial neural network model [38, 45].

In producing blasting of Malanzhuang Iron Mine, applying the neural network measure, a neural network model has been set up.

Secondly, the identification method based on FCP network model is presented.

The type of spatial data model: the model based on object (element); network model; field model.

Meanwhile, new sites such as Twitter have challenged the traditional social network model, which is an additional problem for MySpace.

A kind of neural network model based real-time expert control system (MRECS) is proposed for PTA crystallization process.

Using the data obtained from a test vehicle, a neural network model of automotive for velocity tracking is developed at first.

Based on the weighted amino acid network model, a new scoring function is constructed.

On this basis, proposed a self-organizing tree structure of the P2P network model: SOT - P2P.

Focusing on the problems of the resource searching in P2P network, a P2P network model based on strictly binary tree is proposed.

The BP network model builds and trains the network by using the input and the output vector.

This paper lucubrates the gray neural network model (GNNM (1, 1))that we have set up, furthermore optimizes and perfects it.

Based on the partition, the zone-network model is defined.

In order to convert GIS based feeder maps into electric diagrams, a distribution network model based on the graph theory is developed.

Section 2 introduces the network model of Goyal and Joshi (2006).

The most famous such architecture is the OSI's 7 layer network model [6].

In Chapter 2, Conceptual Integration Theory is exposited with examples, including the network model and four kinds of sub networks.

Derrida, B. , E. Gardner, and A. Zippelius. 1987. An exactly solvable asymmetric neural network model. Europhysics Letters 4 (2): 167-173.

So we just need to select a fractal-like tree branching network model to study the basic transport properties of these systems.

In order to adapt to the development of space communications, a space communication network model based on IP was put forward.

This network model makes clear our earlier claim that the distinction between inside and outside tends to blur in Empire;

A fracture network model based on algebraic topology theory has been developed to study fluid flow in the fracture dominant media.

Example Verification and Experimental Study of Network Model for Room Temperature Prediction during the Fire in Buildings

Simulating soil water and solute transport in a soil-wheat system using a neural network model with an improved genetic algorithm

Probabilistic neural network model and its application in evaluation of the water quality near the dam area of Three Gorges Reservoir

Study of an Agent-Based Self-Adaptive Automation Network Model and its Application

Neural Network Model Used in Image Reconstruction from a Few Projections and Numeric Simulation

Study on a Sort of Fuzzy Network Model and Its Algorithm for Lap Works

Self-organizing Neural Network Model for Evaluating the State of the Shooting Athletes Training Adaptation

Global exponential asymptotical stability of delayed-feedback equations for a type of two-neuron network model with two thresholds

water and electricity supply companies; financial risk; financial risk forewarning; the model of risk forewarning; neural network model;

Influence Study of Heat Transfer Sub-models on the Fire Network Model's Solving Precision and Speed

Establishment of the fracture network model of analogous outcrop and its application in the buried hill reservoir in Renqiu

Artificial neural network model for ignition time of thermal explosion in Ni- Al system intermetallic compounds

The Tension between Scientific Rationality and Its Historical Element--Loudon's Network Model Theory Criticizing on Kuhn's Integer Theory

Application of a radial basis function neural network model to data processing technique of dam safety monitoring

Application of the neural network model with partial least-square regression to the displacement prediction of roadway surrounding rock

An Arbitrage Pricing Method for Financial Products in Terms of Generalized Network Model

Artificial Neural Network Model Used in Performance Analysis of the Refrigeration Unit

Artificial Neutral Network Model and its Application in Determination of Classification of Expansive Soil

Application of BP artificial neural network model to forecasting water and sediment yield in a river basin

Analyzing the information flow of chlorophenol QSAR artificial neural network model

The integral system modeling can be summed up in three types: (1) equivalent 2-port network model [5];

An artificial neural network model study of thermodynamical properties of polymers

Calculating the Imbibition Relative Permeability of a Gas-liquid System by Pore Scale Network Model

Asymptotic Behavior of a Discrete-time Network Model of Two Neurons

The Neural Network Model of the Fuzzy Evaluation System for the Comprehensive Quality of the Military Technical Personnel

A Study of Optimization Problem of Neural Network Model and Its Applications

established multiple regression model and BP neural network model of the groundwater level and predict the groundwater level;

The Neural Network Model Used in Calculation of the Lubricant Viscosity on the Friction

Neural Network Model Construction and Its Application in Fuzzily Optimization of Mining Method

Establishment of a Network Model for Monitoring Therapeutic Recipe

Neural Network Model for Recognition of Gas Stream Distribution Pattern in Furnace Top and Its Application

An Empirical Study of Financial Distress Prediction with Neural Network Model

Hopf Bifurcations in Numerical Approximation for a Neural Network Model with Two Delays

Non-Linear Artificial Neural Network Model and its Application in Corn Production Prediction

Hybrid chaos optimization algorithm for fuzzy neural network model and its applications

Genetic algorithms-based fuzzy optimization BP neural network model and its application

Robust Knowledge-Based Neural Network Model of Frequency Dependent Resistance and Inductance for Coplanar Interconnect

Application of neural network model to refrigerant thermodynamic and transport properties calculation

On-Line Prediction of Product Concentrations in Glutamate Fermentation Using Metabolic Network Model and Linear Programming

Neural Network Model for Examination of the Temperature Characteristics of Boundary Film on Friction Surface

Solutions and Asymptotically Stable Behavior of a Neural Network Model

Nonlinear system multi-step predictive control based neural network model and modified elitist preserved genetic algorithm

Preliminary Discussion on the Artificial Neural Network Model for Trajectory Bucket Flood Discharge Atomization

The ideas on comprehensive designing evaluation index system for the performance of physicians under network model

Study of artificial neural network model for forecasting urban water demand

Research on the Network Model of Enterprise Knowledge Management and Its Coordination

Urban highway tunnel; genetic algorithms; BP neural network model; GABP neural network; intelligent drainage system;

Neural Network Model for the Relationship between Specific Performance and Physical Fitness of Hammer Thrower

A New Neural Network Model and Its Application to Intelligent Diagnosis and Analysis of Machining Quality

Extended random neural network model and its probability structure features

A Study of Multiple Data Recognition for Water Flooding Layer by Fuzzy Neural Network Model

The Application Research of the Superposition Method of Triangulation Network Model in the Earthwork Estimation

Evaluation of regional ecotourism suitability based on GIS and artificial neural network model: A case study of Zhejiang Province, China

The Immune Wavelet Network Model and Its Application to the Prediction of Market Clearing Price

Structure self-adaptive neural network model realizing structural risk minimization principle

Application of artificial neural network model to groundwater quality assessment and classification

Artificial neural network model for hydraulic turbine cavitation characteristics

Self-Adjusting Dynamic Neural Network Model and Its Application in Strip Shape Prediction

Construction and Predict Analysis of a Neural Network Model of Reheated Vapor Temperature Based on Advanced Genetic Algorithm

A Fuzzy Artificial Neural Network Model for Summing-up Evaluation of the Processing Characteristics in Longan

A Real-time Road Network Model for Hazardous Materials Transportation

Grey Neural Network Model; Gray System; Genetic Algorithm; Back-propagation Neural Network; Prediction of Gas Emission;

Application of Neuro-network Model-forming Technique to the Research of Three-unit Compound System Rock-electricity Relation

The application of stochastic mathematics in the technique of transition and simplification computer Petri network model

A Study of the Hierarchical Network Model of Time Metaphors

Discussion of the Best BP Neural Network Model Using Evaluation of Soil Liquefaction

An Intelligent Ant Colony Neural Network Model for the Dynamic Constitutive Relationship of Rock under High Strain Rate

Application of the nerve network model in the analysis of factors affecting hospitalization expenses

A modified artificial neural network model and its application to flood forecasting

Study of integrated neural network model of artificial vision system

Artificial neural network model of rainfall-runoff forecasting for rain gage unevenly distributed watersheds

Behavior of a Packet-Switched Lattice Network Model with Inactive Sites

An Artificial Neural Network Model and Its Application for Suitabi-lity Assessment of the Reclaimed Land in Highway Construction

Neural network model for profile modeling spray of chemical to fruit trees and its applications

The Construction of a Network Model for the Intelligentized Residence Section

Reconstruction of hospital organizational structure under network model system

Teaching of Environmental Monitoring with a Network Model

Neural Network Model of General Qualities Evaluation for Military Equipment Management Personnel

Dynamic simulation of an single-effect absorption chiller with new neuron network model

A Neural Network Model of the Term Structure of Interest Rates and its Application to Treasure Bond Option

Complex-orthogonal-series-based neural network model and its application

Three-Dimensional Discrete Fracture Network Model and Its Inverse Method

The Stability Analysis of a Nonlinear Neural Network Model with Time-Delay

The Application of Partial Least Squares Regression and Neural Network Model to Predicting Construction Project Cost

A Network Model algorithm for Earthwork Allocation and Transport Considering the Construction Order and Soil Quality

An artificial neural network model study of speech-identifying

Artificial neural network model for assessing the sustainable utilization of regional water resources

Study on a Neutral Network Model and its Application in Predicting the Risk of Rock Blast

Neural network model of inversing load-bearing rate of reinforced concrete beams using apparent damage characteristics

Artificial Neural Network Model for Reference Evapotranspiration

Application of Petri Network Model in Simulation Analysis of Active Public Transit Priority Signal Intersection

Artificial neutral network model and its application in determination of classification of rockmass in tunnel

The Research and Application of Fuzzy Inference Neural Network Model for Real-time Operation Decision in Reservoir Flood Control

Artificial Neural Network Model of Microcrystalline Wax Oxidation without Catalysts

Application and Amendment of BP Neural Network Model to Enterprise Integrated Performance Evaluation

A uniform design based neural network model for amino acid composition and optimum temperature of alcohol dehydrogenase

A Structure- Optimizing Algorithm Using Conjugate Gradient and Neural Network Model of Predicting Coal and Gas Outburst

Neural Network Model of the Comprehensive Evaluation of Freeway Construction

Prediction of Seepage Quantities of a Dam Foundation Based on Artificial Neural Network Model with Learning into Groups

in a network model , a resource could be a router or a finite - bandwidth channel ;

Neural Network Model of Phase Space and Its Application in Hydrologic Prediction

Neural Network Model of Fuzzy Judgement System for Evaluating Administrators'General Qualities

Research on optimization wavelet neural network model by combining hierarchy genetic algorithm

Researches on Varied Structure Artificial Neural Network Model for Estimating Building Project Cost

Artificial Neural Network Model for Predicting Parameters of Probability-Integral Method

Internal Model Control Using Dynamical Neural Network Model and Decoupling Linearization

Network Model for Earthwork Allocation and Transport Considering the Construction Order and Soil Quality

Application on the Neural Network Model for the Risk Analysis of Longdistance Petroleum Pipelines

A Discussion on Application of Artificial Neural Network Model to On-Line Calculating Coal Consumption in Thermal Power Plant

Study of Neural Network Model on Soil Water Content Estimation of Orchard

An Analysis of the Exponential Stability of the Periodic Solution of the Neural Network Model with Time Delay

An Artificial Neural Network Model of Flood Discharge Atomization Prediction of Hydropower Station