Title :
A novel CMOS analogue fuzzy inference processor
Author :
Song, CTP ; Quigley, SF ; Pammu, S.
Author_Institution :
Sch. of Electron. & Electr. Eng., Birmingham Univ., UK
Abstract :
In this paper, we present a design of an analogue fuzzy inference processor with emphasis on the simplicity of architecture, circuitry and implementation. A brief overview of fuzzy inference processor building blocks suitable for hardware implementation using analogue Complementary Metal Oxide Semiconductor (CMOS) techniques is presented. Techniques for generalising the design into an n-rule, n-input fuzzy processor have been established. The design of an analogue fuzzy processor with 4-rule aggregation is discussed, based on a standard 2 μm N-well process
Keywords :
CMOS analogue integrated circuits; fuzzy neural nets; inference mechanisms; neural chips; neural net architecture; 2 mum; CMOS analogue fuzzy inference processor; analogue Complementary Metal Oxide Semiconductor; fuzzification; n-input fuzzy processor; n-rule; rule circuits; simulation; CMOS process; CMOS technology; Circuits; Digital signal processing; Fuzzy systems; Gravity; Hardware; Process design; Signal design; Very large scale integration;
Conference_Titel :
Circuits and Systems, 1998. ISCAS '98. Proceedings of the 1998 IEEE International Symposium on
Conference_Location :
Monterey, CA
Print_ISBN :
0-7803-4455-3
DOI :
10.1109/ISCAS.1998.703995
