Title
Towards evolvable analog artificial neural networks controllers
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.
Year
DOI
Keywords
2004
10.1109/EH.2004.1310808
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
Field
DocType
ISBN
Computer architecture,Analogue electronics,Computer science,Artificial neuron,Multiplexer,Evolvable hardware,Integrated circuit design,Control system,Multiplexing,Artificial neural network,Embedded system
Conference
0-7695-2145-2
Citations 
PageRank 
References 
3
0.48
10
Authors
6