Universal neural controllers

Author

Chen, Cheng-Liang ; Chang, Feng-Yung

Author_Institution

Dept. of Chem. Eng., Nat. Taiwan Univ., Taipei, Taiwan

Volume

4

fYear

1994

fDate

27 Jun-2 Jul 1994

Firstpage

2592

Abstract

A collection Γ of a neural controller is a universal neural controller if and only if any given controllable process P can also be controlled by a specific neural controller in Γ. Given any continuous real valued function on a compact set, we show that the collection Γ of the inverse Gaussian and the Gaussian potential function neural controllers (IGFNC, GPFNC) that will approximate the given function to any degree of accuracy. An application of this result shows that this type of radial basis function neural controller (RBFNC) is a universal neural controller. Hence, any given controllable process can be controlled by this RBFNC operating simultaneously

Keywords

feedforward neural nets; intelligent control; neurocontrollers; Gaussian potential function neural controllers; inverse Gaussian; radial basis function neural net; universal neural controllers; Feedforward neural networks; Integral equations; Multi-layer neural network; Multilayer perceptrons; Neural networks; Process control; Radial basis function networks; Shape; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-1901-X

Type

conf

DOI

10.1109/ICNN.1994.374629

Filename

374629