nonlinear radial basis function network
Nonlinear Image Restoration Using a Radial Basis Function Network
... blurring function is known and smooth. A cost function is then minimized by using the steepest descent ...blurring function nor the original image is ...blurring function. Since the GRBFN ap- ...
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Adaptive Inverse Control of Proton Exchange Membrane Fuel Cell Using RBF Neural Network
... uncertain nonlinear system and with the change in operating point, its parameters ...a radial basis function neural network (RBFNN) is used as an inverse system identifier, and then the ...
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Radial basis function neural network learning with modified backpropagation algorithm
... layers. Radial function is applied as activation function for all the neurons of the hidden ...and nonlinear transformation while on the other hand at the second stage, supervised learning is ...
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Learning Methods of Radial Basis Function Neural Network
... Radial Basis Function Neural Network （ RBF ） is widely used now; it can solve the following problems: the small sample, nonlinear, dimension and local ...
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An improved radial basis function networks based on quantum evolutionary algorithm for training nonlinear datasets
... for network during training stage and, also the weakness pose by clustering algorithm for finding optimal center that represent the shape of distribution of given ...
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Radial Basis Function Neural Network Trained by Adaptive Chaotic Particle Swarm Optimization to Control Nonlinear Systems
... perform function mappings, is a very useful structure to control dynamical systems (Lin et ...approximate nonlinear functions to arbitrary precision (Dong et ...
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Learning enhancement of radial basis function neural network with harmony search algorithm
... of radial bases function as an alternative of ANN was first perceived late 80’s, although their related counterpart – pattern recognition technique – existed long ago (Bors, ...Neural Network was ...
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Medium term load demand forecast of Kano zone using neural network algorithms
... Neural network has gained wide acceptability over the last few decades, especially in the field of system identification, modelling and control applications ...complex nonlinear system and capable to handle ...
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ELECTRICITY CONSUMPTION PREDICTION SYSTEM USING A RADIAL BASIS FUNCTION NEURAL NETWORK
... demand function for 17 groups of industries in Iran, using a Log- Linear Autoregression model with annual time-series data from 1980 to ...strongly nonlinear and ...
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Active Disturbance Rejection Control for a Class of Non affine Nonlinear Systems via Neural Networks
... on radial basis function (RBF) neural network is proposed for a class of non-affine nonlinear systems in this ...neural network is used to approximate the reference ...the ...
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Orthonormal Basis and Radial Basis Functions in Modeling and Identification of Nonlinear Block-Oriented Systems
... RBF network in the Wiener system models the inversion of the nonlinear function ...original function on the basis of RBF network is ambiguous and badly numerical ...
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Dynamic Threshold Selection for Sequential Learning in Radial Basis Function Networks
... for nonlinear system identification have evolved over the years to provide better and faster learning capabilities with increasing automation of ...the nonlinear system to be ...case basis will be ...
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Adaptive Radial Basis Function Detector for Beamforming
... the radial basis function (RBF) network [17]-[19] and other kernel models [20]-[25] have been applied to solve this nonlinear detection ...these nonlinear detectors attempt to ...
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Orthogonal forward selection for constructing the radial basis function network with tunable nodes
... The radial basis function (RBF) network is a popular artificial neural network structure that has found wide applications in machine learning and ...RBF network include its ...
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Radial basis function neural network for software engineering measures A survey
... of radial basis Function network forms with the three layers, those are input layer, hidden layer and output ...the network. Next, hidden layer is formed with the Gaussian ...
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Symmetric Radial Basis Function Network Equaliser
... The paper investigates nonlinear equalisation using a novel symmetric radial basis function (RBF) network. By explicitly exploiting the inherently symmetric struc- ture of the optimal ...
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Research on Intention Recognition Method Based on Radial Basis Function Neural Network
... K-means clustering method, as a common and effec- tive clustering method, can confirm the extension constant of hidden nodes on the basis of the distance among various clustering centers. The main idea of this ...
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An Adaptive Controller using Radial Basis Function Neural Network with Reinforcement Learning
... Although there is no proof for these kinds of controllers’ stability, this interaction usually leads to a good controlling ability for the systems that can be controlled by an adaptive PID controller. In this paper the ...
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Multilingual Speech Recognition Using Radial Basis Function (RBF) Neural Network
... The flow chart of the methodology in given in Fig2, the methodology is divided into two stages. In first stage the signal is first read by the system then preprocessing is done, MFCC and LPC feature extraction are ...
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Classification of breast cancer microarray data using radial basis function network
... Ng, E. Y. K., Peh, Y. C., Fok, S. C., Ng, F. C., and Sim, L. S. J. (2002). Early Diagnosis of Breast Cancer Using Artificial Neural Network with Thermal Images. Proceedings of Kuala Lumpur International Conference ...
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