Robust regression and outlier detection
Robust regression and outlier detection
Universal approximation using radial-basis-function networks
Neural Computation
An introduction to wavelets
Wavelets and subband coding
Kalman Filtering and Neural Networks
Kalman Filtering and Neural Networks
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Foundations of Wavelet Networks and Applications
Foundations of Wavelet Networks and Applications
Static and Dynamic Neural Networks: From Fundamentals to Advanced Theory
Static and Dynamic Neural Networks: From Fundamentals to Advanced Theory
Function Approximation Using Robust Wavelet Neural Networks
ICTAI '02 Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence
Function approximation using fuzzy neural networks with robust learning algorithm
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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In this paper we present algorithms which are adaptive and based on neural networks and wavelet series to build wavenets function approximators. Results are shown in numerical simulation of two wavenets approximators architectures: the first is based on a wavenet for approach the signals under study where the parameters of the neural network are adjusted online, the other uses a scheme approximators with an IIR filter in the output of wavenet, which helps to reduce convergence time to a minimum time desired.