RBF

The simulation illustrates the effectiveness of the RBF method presented here and its superiority to the MLP method.

RBF network has such advantages that the output is independent the initial weight value and the structure can be determined by adaptation.

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

then to determine the number of hidden nodes of RBF neural networks by maximal matrix element method.

Here used the PNN neural network to determine the position and RBF neural network identify the section stiffness of steel supports.

A new method for the structural active control may be offered by predicting the structural response with RBF neural network.

Finally select Extended Rival Penalized Competitive Learning algorithm as the paper's RBF learning algorithm.

The results of simulation studies finally show the effectiveness of RBF-ARX model for the modeling and identification of nonlinear systems.

It mainly consists of a thick tin oxide gas sensor array and radial basis function(RBF) neural network.

The method of fundamental solutions (MFS) with radial basis functions (RBF) approximation was developed for general thermoelastic analysis.

RBF network with high generalization is a good classifier, especially for larger number of samples.

This paper presents a method used to the current transformer excitation characteristic modeling based on RBF neural network.

Furthermore, the thesis combines ANN with Fuzzy and applies it to sensibility analysis of factors which affect soil pressure.

The paper establishes RBF neural network to predict water holdup, and the measurement precision can be improved.

One kind of alternant gradient algorithm for improving the training of Radial Basis Function (RBF) neural network is proposed.

Secondly, the RBF-ARX modeling theory as a global model is adopted for the nonlinearity of quad rotor.

In this work, MLP is substituted by a radial basis function (RBF) network, which solves these problems successfully.

The discounted least squares (DLS) principle is borrowed to construct the learning algorithm of DLS-RBF based upon squared error criterion.

The simulations indicate that generalization ability of the RBF network can be improved a lot.

the noise level slightly affects the ability of the two RBF networks to identify the damage location arid extent.

BP algorithm adopts Matlab as operation platform, imitates the data, but RBF adopts VC to debug C procedure for operation platform.

The RBF neural network-based software for the prediction of hourly air conditioning load is finally programmed.

Training results show that the RBF neural network can receive smaller mean square error (MSE) within shorter time.

The theories of BP and RBP network were introduced, meanwhile their applications in sensory evaluation were discussed.

An optimization algorithm of RBF Neural Networks based on ant colony clustering and a pruning method is proposed.

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

As one of FNN, RBF network is also widely used in many fields.

The BP network and the RBF network are applied to calculate the underwater acoustic signal of naval vessels.

The simulation results show that the RBF network does well in nonlinear function approximation.

RBF networks have the advantage of not suffering from local minima in the same way as Multi-Layer Perceptrons.

The research of this paper is mainly about reconstruction of Chinese normal speech from whispered speech based on RBF neural network.

A radial basis function (RBF) neural network approach to blind source separation in linear mixture is presented.

First, the usual ways that are employed to choose the number of RBFNN's hidden layer nodes are analyzed and compared.

RBF neural network based tuning of PID control of radial basis function with the seclusion of the three single-feed-forward network.

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

The structure and fundamental of RBF neural network are analyzed, a three-layer RBF neural network is designed.

Comment on "An Approach to Robust Fault Detection for Nonlinear System Based on RBF Neural Network Observer"

This shows that it is feasible that RBF ANN is used to establish the forecast model of outflow sediment concentration.

For the above reasons, the extended Kalman filter is proposed as RBF learning algorithm, and the biradial function is used in hidden layer.

RBF (Radial Basis Function) NN is more suitable for system identification and control because its outputs are linear to the weights.

This paper investigated a new estimation method of soil properties under moving load by using radial basis function(RBF) neural network.

After that, RBF neural network is adopted to identify the temperature wave of single thermocouple.

In this paper, the soft competition learning algorithms (SCLA) of RBF neural networks are designed.

Gray compensating RBF neural network-a new kind of combining method of gray system and neural network was given.

The radial basis function (RBF) neural network is adopted to analyze and predict freight volumes.

The classification effect of Polynomial kernel function is also contracted with Gaussian RBF kernel function.

The experimental results show that RBF neural network can successfully approximate the weights of all factors.

The results show that RBF-ANN Method of water environmental quality evaluation is a handy method and practical conclusion.

Finally, we use the improved method to design a soft sensing model about the critical temperature of crude oil, and simulate it.

Using HVDM-RBF kernel to test and separately compare the prediction result with results got from RBF kernel, LIK kernel and Neural networks.

A new method of subtractive clustering RBF network for air condition breeze fan fault diagnosis is presented.

RBF neural network (RBFNN) is used to approximate system dynamic and elimination errors of model. The chattering is weakened effectively.

According to the geometrical representation of RBF neural model, a classification algorithm is proposed.

Firstly, the algorithms and principles of BP network and RBF network are gone into details.

The RBF neural network parameters could be optimized.

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

RBFNN has the best fitting ability, the faster training speed, no problem of immersing into the partial least point.

PSO is utilized to optimize the RBFNN training process, which has improved the credibility and reliability of model.

The paper presented an idea of applying information fusion technology based on RBF network in fault diagnosis of gas sensor.

On the basis of radial-based function (RBF) neural network, a kind of building cooling load prediction model is established.

From single kernel function, we present and implement a chinese opinion sentence identify model based on RBF kernel method.

the learning process of rbf network is much faster and easier than that of bp network , and not existing local minimum areas.

The thesis will expatiate the method of information filtering by using RBF neural network.

Based on research at home and abroad, in this paper, RBF neural network is used for FVF.

In fact, FCP is an RBF network, also a fuzzy basis function network.

RBF neural network is adopted to test the LF damage quantity of steel wire-rope.

A method of comprehensive evaluation of groundwater quality based on dynamic RBF neural network is presented.

SO the RBF network is very suitable for intrusion detection test which has the high requirements of efficiency and speed.

The preliminary results show that the modular approach is more accurate than using the RBF neural network or the BP neural network alone.

The key factor that influences the performance of RBFNN is the choice of hidden layer center.

Through the present research of isolated word speech recognitions, a novel approach, based on simplified PCNN and RBF, is presented.

Based on this simplified RBF neural network, the intellectualized control model of 3-degree gear driving system is set up.

This paper proposed a new method that can efficiently determine hide layer neurons and weights of radial basis function network (RBFN).

A novel radial basis function neural network based on ant colony clustering(RBF-ACC) was proposed.

From that time on, a set of technology of damage detection to the plane truss based on the RBF network methods are formed.

In this paper, a burning through point prediction model based on RBF neural network is presented.

Among them, the Radial Basis Function( RBF) neural network is a better model.

A simple stable direct adaptive PID control algorithm is proposed, which is based on RBF neural network.

Fig 2 Model of RBF neural network .

The RBF neural networks were trained with the data of 10 kinds of pesticides and other gases. The correct recognition rate reaches 83. 3%.

Application of the least RBF network evolution selected arithmetic in prediction of igniting characteristics

A Study on the RBF Neural Network Method Used for the Dynamic Monitoring of Chemical Processes

Parameter identification; damage identification; wavelet packet; Hilbert transform; RBF neural network; particle swarm algorithm;

Application Relation Between Column and its Efficiency in the Resolution of Overlapping Chromatographic Peaks Using RBF Neural Network

A Study of the Synthetic Evaluation Approach in Capital Running Performance of High- tech Enterprises Based on RBF Artificial Neural Network

Regularized RBF Network-Based Inferential Sensor and Its Application in Product Quality Prediction

Application of a RBF Neural Network in Aerodynamic Parameter Identification of a Reentry Body

Application of a Class of New RBF Neural Networks to Modelling Nonlinear Systems

A study of on-line identification algorithm by using RBF network and its application

An Application of a Coupled Algorithm by the Artificial Immune and RBF Network

An Application of a Coupled Algorithm by the Artificial Immune and RBF Network

RBF network identifier with optimal selection cluster algorithm and its application

Application of a Online Varying-Structure Algorithm of RBF on Internal Model Control

RBF Network-Based Model for Reconstructing Geological Surface and Its Application

Development of RBF neural network with double model structure and its application to atmospheric and vacuum distillation units

RBF Neural Network and Its Application in Predication Soft Measurement of LPG Procreative Data

The Application of the Fuzzy Controller Rectified by RBF Neuro-Network in the Hydraulic Control System with Secondary Unit

Hybrid Algorithm-Based RBF Neural Network and Its Application on Mode Identification

An Improved Algorithm of RBF Neural Networks and Its Application in Attitude Control of Satellite

Performance Comparison between the BP and RBF in Modeling Nonlinear Electron Devices

Application of Wavelet Packets Analysis-Interpolation-RBF to the Simultaneous Determination of Fe, Mn, Cu and Zn in Aluminous-Alloy

Application of an Improved RBF Neural Network in the Prediction of Variation of Groundwater Level

Realization of the RBF Network Classifier and Its Application

Application of a Speech Recognition about RBF Neural Networks

Research on Handwritten Chinese Character Recognition Using Feature Fusion and Modular RBF Classifier

Study on the System Identification of the RBF Neural Network

Constructing Monotonic RBF Neural Networks to Approximate Monotonic Functions

Application Study on BP Network and Generalized RBF Network in Estimating Distribution Model of Mechanical Products

Study of ensemble forecasting based on different meteorological numerical products by using RBF artificial neural network

Identification procedure of vibrating load parameters of hydraulic generator with RBF neural network

RBF Neural Network with Genetic Algorithm of Shift Decision for Automatic Transmission of Construction Vehicle

Maximal Matrix Element Method for Determining the Number of Hidden Nodes of RBF Neural Networks

Prediction Study of Lateral Unbalance Centrifugal Acceleration of Tilting Coach Based on RBF Neural Networks

Dynamical model of RBF neural network-based prediction for heat transfer oscillating behavior of thermosyphon

RBF artificial neural network to forcast horizontal displacement of timbering structures of pothole

A Study of Chaos Identification Via an Online Training RBF Neural Network

Optimized Design of RBF Network and Its Application in Rolling Force Prediction

Online study method of RBF neural network and its application in the dam displacement monitoring

Identification of the Driver, s Active Safety Factors Using Self-organizing RBF Neural Network

Application of Wavelet Packets Analysis-Subtractive Cluster-RBF to Simultaneous Determination of Trace Fe and Mn

Application of RBF Neural Network in the Prediction of the Capital Construction Investment

RBF Neural Network Model for Combinatorial Nonperiodic Defected Ground Structures

Application of the Fuzzy RBF Neural Network in Breakout Dynamic Waveform Recognition

RBF Neural Networks Based on Dynamic Nearest Neighbor-Clustering Algorithm and Its Application in Prediction of MH-Ni Battery Capacity

An RBF Training Method Combining Immune Clustering and Immune Evolutionary Programming

RBF neural network introducing profit and its applications

A dynamic RBF neural network algorithm used in pattern recognition

Temperature compensation of a capacitive pressure transducer based on RBF neural network

RBF Neural Networks and Its Application in Attitude Control of Satellite

Application of an Improved RBF Neural Network in Intrusion Detection

A Novel Training Algorithm for RBF and Its Application in Target Recognition

Treatment of Failure Parameters of Sluice Integrated Automation System Using RBF Neural Network

RBF collocation method as a class-based meshless method, no mesh generation, solving problems in high precision;

RBF Neural Networks and Their Application to Output-Based Objective Speech Quality Assessment

The Application of RBF Neural Network in Material Recognition of Ultra-Wideband Ground-Penetrating Radar

Study of an adaptive and fault-tolerant federated filter algorithm based on RBF

The Application of HHT and RBF Neural Networks for Processing Fault-vibration Signals from Centrifugal Pumps

Fault Diagnosis in a Hydraulic Position Servo System Using RBF Neural Network

Inferential control of a fixed-bed reactor using RBF network

Dynamic Modeling and Control of a Deployable Manipulator System Based on Gaussian RBF Neural-Network

Application of RBF Neural Network in Estimating Vertical Ultimate Bearing Capacity of Single Piles

Application of Incremental Genetic RBF NN to Hot Metal Desulfurization Pretreatment

Theoretical Study of Multi-wavelength Radiation Thermometry based on RBF Neural Network

Estimation Algorithm of Multi-targets Direction of Arrival in Fuze Smart Antenna Based on RBF Neural Network

Image Denoising Using Cross-Validation Method with RBF Network Representation

Vibrant Fault Diagnosis of Hydro-turbine Generating Unit Base on Spectrum Analysis and RBF Network Method

Fuzzy RBF Neural Network Control for Idle Speed of Electronically Controlled Gasoline Engine

Controlling chaotic system by RBF neural networks nonlinear compensator

Novel modeling method for grey RBF neural network and its application

RBF Neural Networks Applies In Predicting of Monitoring Deep Foundation Excavation

Application of the RBF Neural Network in the Prediction of Frequency Hopping Signals

Application of RBF Neural Network in Nonlinear Correction of Data of Pressure Calibration System

Study of Strength of Concrete Using RBF Neural Networks

Application of Improved RBF Neural Network for Port Container Throughput Forecast

A Forecasting Method for Tunnel Surrounding Rock Deformation Using RBF Neural Networks

Application of RBF artificial neural network in risk prediction of engineering project

Application of the RBF network in fault diagnosis for power electronic circuit

Comparison with BP and RBF neural network used in face recognition

Application of RBF-ANN in Atmospheric Environmental Quality Evaluation

RBF Artificial Neural Network Based on Rough Set and Its Application in Equipment Development Cost Estimation

Application of RBF Neural Networks to Fault Diagnosis of Hydraulic Turbine Generator Units

RBF ANN Nonlinear Prediction Model Based Adaptive PID Control of Switched Reluctance Motor

RBF Neural Network Based on Improved Evolutionary Planning Used in Binary-coded Side-lobe Optimization

Urban Water Consumption Forecasting Model Established by RBF Neural Network

Splicing System Based Genetic Algorithms for Developing RBF Networks Models

RBF Fuzzy Adaptive Control Method Applying in Electro-hydraulic Velocity Servo System

Comparative Study of Soft Sensor Models Based on Support Vector Machines and RBF Neural Networks

The Research on RBF Fuzzy Neural Network of Electro-hydraulic Speed Governor System for Diesel Engine

Implementation for Gauss- Type Function Integral Using RBF Neural Networks

Application of RBF Neural Network in Soft Measurement of Oil Temperature in Super Pressure Kettle

Function approximation study of RBF

Application of RBF Nerve Network in Prediction of Surrounding Rock Displacement

Application of RBF Neural Network to Prediction of Sands Liquefaction Potential

On Learning of Ship Maneuver Dynamical Characteristics with RBF Neural Networks

Research on application of RBF neural network on freeform surface in reverse engineering

Identification of Vehicle Suspension System Using RBF Neural Network

Application of RBF Neural Network in Optimizing Machining Parameters

Using RBF Network to Solve the Channel Nonlinear Distortion in Speaker Verification

Application of RBF Neural Network in Forecasting Warship Maintenance Cost

Automatic identification of axis orbit using RBF network and moment invariants

Application of RBF Main Neural Network Analytic Approach in Traffic Prediction

Application of Evolutionary RBF Network in Multiuser Detection

Generalized Fuzzy Inference and Generalized Fuzzy RBF Networks

Application of RBF Neural Network to Ultrasonic Holdup Measurement for Water-Oil Two Phase Flow

Direct adaptive quality control of a distillation column based on RBF neural network

Chaotic time series prediction based on RBF neural networks with a new clustering algorithm

Diagnosis with RBF Neural Networks of Faults Occurring in Pulverizing Systems

The RBF Network Response Surface Method Applies to the Slope Stability Analysis

Application of RBF Networks for the FOG's Dynamic Error Model Identification

Application of RBF neural network and adapt-self fuzzy control for short-time load forecasting

Nonlinear modeling of the boiler combustion system in a power plant based on RBF neural networks

RBF neural network controller optimized, by genetic algorithm

Discounted least square RBF neural networks with applications in time series prediction

Application of RBF Artificial Neural Network to Fault Diagnose in Nuclear Power Plant

Application of RBF Neural Networks in Surface Roughness Optical Fibre Sensor

Forecasting Temperature of Grain Depot Base on RBF Artificial Neural Network

Application of RBF Neural Network in Optimum Design of Structure Antifatigue

Algorithm Comparison of RBF Neural Networks for Air-Fuel Ratio Control of Gasolene Engine

Strategies to the noise contained in experimental data in RBF neural network model

Application of Incremental Genetic RBF NN in Converter Vanadium Recover

Application of RBF neural network in predicting fabric air permeability

An Application of Improved RBF Neural Network in Modulation Recognition

Image Reconstruction Algorithm for Electrical Impedance Tomography Based on RBF Neural Network and Genetic Algorithm

Thermodynamic Performance Simulation of Refrigeration Compressors Based on RBF Networks

Empirical Research on Agile Supply Chain Partner Selection by RBF Neural Network

Hemodynamics changes during cadaveric renal transplantation and the effects of NO on RBF

RBF network simulation for a karst water system

Identifying chaotic system using extended RBF neural network

Complement of incomplete spatial information via RBF network

RBF Network Prediction of Military Aircraft Acquisition Cost

The application on part quality control of RBF neural networks in extrusion blow molding

Application of RBF Algorithm Based on Generalized Genetic Optimization in Prediction Model for Molten Iron Desulfuration

RBF Networks for Initial Alignment of Strap-down Inertial Navigation System

Application of RBF neural network in dense phase pneumatic conveying system

Model Reference Adaptive Controller of On-line Learning RBF Neural Networks

RBF and Its Application in Water Quality Appraisal

Curved Surface Insufficient Data Mending Using RBF Neural Network

Train RBF Neural Network using Hybrid Hierarchy Genetic Algorithm

Research on RBF neural network application in coal properties analysis

RBF neural network method for pattern classification of share tendency

Application of RBF Neural Network to Pyrolytic Characteristics of Coal

An Approach for Automatically Generating Fuzzy Rules Using RBF Network

An on-line Identification Algorithm Based on Modified RBF Neural Networks and Its Application

Research on Predicting Model of Gross Production Value Using RBF Neural Network

An Improved RBF Neural Network Applied in Stock Market Modeling and Predication

The fault diagnosis of the electricity-drawn mining machine based on the self-adaptive artificial neural network RBF

Application of RBF Neural Network to Multi-reach River Water Quality Simulation

Study of Internet Traffic Data Flow Forecast of RBF Neutral Network Based on Chaos Theory

Application of RBF Neural Network in Fault Diagnosis of Reciprocating Pump

Application of RBF Neural Networks in Prediction of Ultimate Load Capacity

RBF Networks in Measuring the Content of Fluorine in the Process of Concentrating Acidic Ammonium Phosphate Pulp

Data Mining; Cluster; RBF Neural Network; Behavior Mode of Customers;

RBF neural networks applied in soft-measuring of distillation columns

RBF Fuzzy Adaptive Control of Electro-hydraulic Velocity Servo System

The Application of RBF Neural Network Theories for Engine Performance

Resolution of overlapped chromatographic peaks by pattern recognition based on wavelet transform and RBF networks

RBF Neural Network Soft Sensor Modeling Algorithm Based on Fast-PLS-Pruning and its Application

RBF neural tree networks for multi-class classification in remote sensing

Application of Dynamic RBF Neural Network in Modeling of Nonlinear System

Application of RBF Neural Networks to Prediction of Rolling Force of Tandem Cold Mill

Fuzzy Adaptive Control of a Class of Nonlinear System Based on RBF Neural Networks

The identification and simulation of evaporator superheat by using RBF network

An application of RBF neural network in video traffic modeling and predicting

Chaos control of Lorenz system via RBF neural network sliding mode controller

Temperature Soft Sensor of Fire Simulated Experiment Furnace Based on Principal Component Analysis and RBF Neural Network

Application of RBF Neural Network in Three Dimensional Laser Cutting

Study on Eccentricity Compensation in Rolling Mill Using RBF Network

Dynamic System Modeling Using Feedback RBF Neural Networks

RBF Neural Network Based Image Fusion Restoration Approach

Predicting Concentration of Gas Mixtures by RBF Neural Networks