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A Sigma-Pi-Sigma Neural Network (SPSNN)
Neural Processing Letters
Neural Networks - 2003 Special issue: Neural network analysis of complex scientific data: Astronomy and geosciences
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Theoretical Properties of Projection Based Multilayer Perceptrons with Functional Inputs
Neural Processing Letters
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Output value-based initialization for radial basis function neural networks
Neural Processing Letters
Neural network based tire/road friction force estimation
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New Radial Basis Function Neural Network Training for Nonlinear and Nonstationary Signals
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ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
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IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
IEEE Transactions on Circuits and Systems Part I: Regular Papers
A novel reformulated radial basis function neural network
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
RBF neural network model and its application in the prediction of output in oilfield
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
ANN based on PSO for surface water quality evaluation model and its application
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
ANSER: adaptive neuron artificial neural network system for estimating rainfall
International Journal of Computers and Applications
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ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
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Bayesian radial basis function neural network
IDEAL'05 Proceedings of the 6th international conference on Intelligent Data Engineering and Automated Learning
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ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
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ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
Approximation bound for fuzzy-neural networks with bell membership function
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
ADMA'05 Proceedings of the First international conference on Advanced Data Mining and Applications
The application of different RBF neural network in approximation
ICICA'11 Proceedings of the Second international conference on Information Computing and Applications
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Computers in Biology and Medicine
Fast image classification algorithms based on random weights networks
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part I
Sparse algorithms of Random Weight Networks and applications
Expert Systems with Applications: An International Journal
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The purpose of this paper is to explore the representation capability of radial basis function (RBF) neural networks. The main results are: 1) the necessary and sufficient condition for a function of one variable to be qualified as an activation function in RBF network is that the function is not an even polynomial, and 2) the capability of approximation to nonlinear functionals and operators by RBF networks is revealed, using sample data either in frequency domain or in time domain, which can be used in system identification by neural networks