Title :
A CMOS analog to fuzzy signal converter
Author :
Wong, Chiu-Kiu ; Hing-Yan To ; Ismail, Mohammed
Author_Institution :
Intel Corp., Folsom, CA, USA
Abstract :
A novel CMOS analog fuzzifier is designed, fabricated using a MOSIS 2 μm N-well process, and verified. Building blocks of Winner-Take-All circuits were developed to build the fuzzifier. The fuzzifier generates the membership functions of a fuzzy system by converting the input analog signals to their corresponding predetermined grad of memberships. It takes voltage-mode inputs and produces current mode outputs for easy manipulations of the output fuzzy signals by the arithmetic operations that follow. Furthermore, the fuzzifier is so flexible that it can be readily adapted into most fuzzy systems, including neural networks, by changing the reference voltages and the number of building blocks used. The high speed of analog implementation also makes this fuzzifier more attractive than software approaches
Keywords :
CMOS analogue integrated circuits; VLSI; analogue processing circuits; convertors; fuzzy logic; fuzzy neural nets; neural chips; 2 micron; CMOS analog to fuzzy signal converter; MOSIS N-well process; WTA circuits; analog VLSI fuzzifier; current mode outputs; high speed operation; membership functions; reference voltages; voltage-mode inputs; winner-take-all circuits; Arithmetic; CMOS process; Circuits; Cities and towns; Fuzzy logic; Fuzzy sets; Fuzzy systems; Neural networks; Signal generators; Voltage;
Conference_Titel :
Circuits and Systems, 1997. ISCAS '97., Proceedings of 1997 IEEE International Symposium on
Print_ISBN :
0-7803-3583-X
DOI :
10.1109/ISCAS.1997.608877
