Title :
High density VLSI implementation of neural networks and fuzzy systems
Author :
Murgan, A.T. ; Dogaru, Radu
Author_Institution :
Dept. of Electron. & Commun., Politehnica Univ. of Bucharest, Romania
Abstract :
A new design flow for high density neuro-fuzzy systems is presented, based on the basic building blocks offered by the current-mode design style rather than on imitating one or other neuro-fuzzy mathematical model. A comparison between digital and analog approaches is carried out, concluding that the current-mode design technique is the most suitable for high density VLSI implementations of neural and fuzzy systems. Original implementation solutions for a nonmonotonic activation function and for a weighted summation module followed by a hard nonlinearity (CMOS perceptron) are presented
Keywords :
CMOS analogue integrated circuits; VLSI; analogue processing circuits; circuit CAD; fuzzy neural nets; fuzzy systems; integrated circuit design; neural chips; perceptrons; switched current circuits; CMOS perceptron; current-mode design style; fuzzy systems; hard nonlinearity; high density VLSI implementation; neural networks; neuro-fuzzy systems; nonmonotonic activation function; weighted summation module; Computer architecture; Delay effects; Fuzzy neural networks; Fuzzy systems; Mathematical model; Neural networks; Neurons; Silicon; System testing; Very large scale integration;
Conference_Titel :
Semiconductor Conference, 1995. CAS'95 Proceedings., 1995 International
Conference_Location :
Sinaia
Print_ISBN :
0-7803-2647-4
DOI :
10.1109/SMICND.1995.495038
