Title :
Digital Gaussian membership function circuit for neuro-fuzzy hardware
Author :
Basterretxea, K. ; Tarela, J.M. ; Campo, I. Del
Author_Institution :
Elektronika eta Telekomunikazioak Saila, Euskal Herriko Unibertsitatea, Bilbao, Spain
Abstract :
A digital design of a Gaussian membership function circuit is presented. It allows positioning of the function on the universe of discourse to be selected, and its width or variance to be adjusted. The circuit is therefore suitable for implementing digital neuro-fuzzy systems with learning capabilities. The circuit allows control of the delay-time/accuracy rate, and adds a new parameter to the adjustable parameter set of the system that may be used to improve the learning algorithm and optimise system architecture
Keywords :
Gaussian processes <neuro-fuzzy hardware, digital Gaussian membership fn. cct.>; fuzzy neural nets <neuro-fuzzy hardware, digital Gaussian membership fn. cct.>; fuzzy systems <neuro-fuzzy hardware, digital Gaussian membership fn. cct.>; interpolation <neuro-fuzzy hardware, digital Gaussian membership fn. cct.>; learning (artificial intelligence) <neuro-fuzzy hardware, digital Gaussian membership fn. cct.>; programmable logic arrays <neuro-fuzzy hardware, digital Gaussian membership fn. cct.>; delay-time/accuracy rate control; digital Gaussian membership function circuit; digital neuro-fuzzy systems; learning capabilities; neuro-fuzzy hardware; programmable approximation circuit; sequential synchronous design; soft computing techniques;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20063712
