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
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;
Conference_Titel :
Solid-State and Integrated Circuits Technology, 2004. Proceedings. 7th International Conference on
Print_ISBN :
0-7803-8511-X
DOI :
10.1109/ICSICT.2004.1436929
