DocumentCode
3291584
Title
CMOS design of analog neuro-fuzzy system with improved circuits
Author
Wang, Wei-Zhi ; Jin, Dong-Ming
Author_Institution
Inst. of Microelectron., Tsinghua Univ., Beijing, China
Volume
2
fYear
2004
fDate
18-21 Oct. 2004
Firstpage
1591
Abstract
This paper intends outlining several improved analog integrated circuits designed in CMOS, standard VLSI technologies, which could be used in fuzzy inference system as the general modules. Current-mode CMOS implementation of min circuit and a programmable Gaussian-like membership function circuit are proposed, A closed-loop control scheme for the system is employed to avoid the division of a centroid calculation in the normalization block.
Keywords
CMOS analogue integrated circuits; VLSI; closed loop systems; current-mode circuits; fuzzy control; fuzzy reasoning; integrated circuit design; neural nets; CMOS design; VLSI technology; analog integrated circuit; analog neuro-fuzzy system; closed loop control; fuzzy inference system; min circuit; programmable Gaussian-like membership function circuit; Analog integrated circuits; CMOS analog integrated circuits; CMOS technology; Fuzzy logic; Fuzzy neural networks; Fuzzy systems; Gaussian processes; Input variables; Microelectronics; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Solid-State and Integrated Circuits Technology, 2004. Proceedings. 7th International Conference on
Print_ISBN
0-7803-8511-X
Type
conf
DOI
10.1109/ICSICT.2004.1436929
Filename
1436929
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