Memristive Chebyshev Neural Network and Its Applications in Function Approximation

Improved Wavelet Neural Networks and Its Applications in Function Approximation

The advent of the computer is a blessing to the emergence of artificial neural networks (ANNs) – a research area which has significant links to the effort of scientists to emulate the complex functions of the human brain. The ANNs, which conceptually model the human brain metaphor with vast number of interconnecting artificial neurons, experience an upsurge in popularity due to their effectiven...

A Novel Memristive Multilayer Feedforward Small-World Neural Network with Its Applications in PID Control

In this paper, we present an implementation scheme of memristor-based multilayer feedforward small-world neural network (MFSNN) inspirited by the lack of the hardware realization of the MFSNN on account of the need of a large number of electronic neurons and synapses. More specially, a mathematical closed-form charge-governed memristor model is presented with derivation procedures and the corre...

A Wavelet Neural Network for Function Approximation and Network Optimization A WAVELET NEURAL NETWORK FOR FUNCTION APPROXIMATION AND NETWORK OPTIMIZATION

A new mapping network combined wavelet and neural networks is proposed. The algorithm consists of two process: the selfconstruction of networks and the minimization of errors. In the first process, the network structure is determined by using wavelet analysis. In the second process, the approximation errors are minimized. The merits of the proposed network are as follows: network optimization, ...

Verification of an Evolutionary-based Wavelet Neural Network Model for Nonlinear Function Approximation

Nonlinear function approximation is one of the most important tasks in system analysis and identification. Several models have been presented to achieve an accurate approximation on nonlinear mathematics functions. However, the majority of the models are specific to certain problems and systems. In this paper, an evolutionary-based wavelet neural network model is proposed for structure definiti...

Chebyshev Centers and Approximation in Pre-Hilbert C*-Modules