Towards evolvable analog artificial neural networks controllers

Author

Amaral, J.F.M. ; Amaral, J.L.M. ; Santini, C. ; Tanscheit, R. ; Vellasco, M. ; Pacheco, M.

Author_Institution

Dept. of Electron. Eng., Rio de Janeiro State Univ., Brazil

fYear

2004

fDate

24-26 June 2004

Firstpage

46

Lastpage

52

Abstract

This work deals with the design of analog circuits for artificial neural networks (ANNs) controllers using an evolvable hardware (EHW) platform. ANNs are massively parallel systems that rely on simple processors and dense arrangements of interconnections. These networks have demonstrated their ability to deliver simple and powerful solutions in several areas, including control systems. The EHW analog platform is a reconfigurable platform, called programmable analog multiplexer array-next generation (PAMA-NG), which can be programmed by genetic algorithms to synthesize circuits. This article focuses on the development of artificial neuron circuits for analog ANNs on the PAMA-NG.

Keywords

analogue integrated circuits; field programmable analogue arrays; genetic algorithms; integrated circuit design; multiplexing equipment; neural net architecture; neurocontrollers; parallel architectures; reconfigurable architectures; analog circuit design; analog platform; artificial neural network controllers; circuit synthesis; control systems; evolvable hardware platform; genetic algorithms; parallel systems; programmable analog multiplexer array-next generation; reconfigurable platform; Analog circuits; Artificial neural networks; Circuit synthesis; Control system synthesis; Control systems; Genetic algorithms; Integrated circuit interconnections; Multiplexing; Neural network hardware; Power system interconnection;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolvable Hardware, 2004. Proceedings. 2004 NASA/DoD Conference on

Print_ISBN

0-7695-2145-2

Type

conf

DOI

10.1109/EH.2004.1310808

Filename

1310808