The generalized CMAC

Author

González-Serrano, Francisco J. ; Artés-Rodríguez, Antonio ; Vidal, Aníbal R Figutiras-

Author_Institution

DTC-ETSI Telecomunicacion, Vigo Univ., Spain

Volume

3

fYear

1996

fDate

12-15 May 1996

Firstpage

594

Abstract

The cerebellar model arithmetic controller (CMAC) is a neurological model for human-like nonlinear controller design. The CMAC can approximate a wide variety of nonlinear functions by local training. The conventional CMAC uses receptive fields with equal width along all dimensions of input space without considering the variation of the target function in different areas. To avoid this limitation, we propose to adapt the width of the receptive fields depending an the input data distribution. The present paper describes this strategy and explores the application of the proposed algorithm in a nonlinear digital communications framework

Keywords

cerebellar model arithmetic computers; digital communication; neurocontrollers; nonlinear control systems; telecommunication control; associative neural network; cerebellar model arithmetic controller; digital communications framework; generalized CMAC; human-like nonlinear controller design; input data distribution; local training; neurological model; nonlinear functions; receptive fields; target function; Arithmetic; Communication system control; Digital communication; Electronic mail; Hypercubes; Neural networks; Neurons; Predictive models; Telecommunication control; Telecommunication standards;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1996. ISCAS '96., Connecting the World., 1996 IEEE International Symposium on

Conference_Location

Atlanta, GA

Print_ISBN

0-7803-3073-0

Type

conf

DOI

10.1109/ISCAS.1996.541666

Filename

541666