DocumentCode :
3417021
Title :
Low-power analog fuzzy rule implementation based on a linear MOS transistor network
Author :
Landolt, Olivier
Author_Institution :
Centre Suisse d´´Electronique et de Microtechnique SA, Neuchatel, Switzerland
fYear :
1996
fDate :
12-14 Feb 1996
Firstpage :
86
Lastpage :
93
Abstract :
An analog fuzzy rule circuit is proposed, which is based on a network of MOS transistors exploited as linear resistive elements. A low number of transistors are needed for each rule circuit, because the same devices cumulate several processing steps of the computation. Another property of the circuit is that the power consumed by a given rule is nearly zero when the weight of that rule is zero. This property enables an efficient use of power in integrated circuits containing fuzzy rule arrays, since normally only a few rules are active simultaneously. In addition, the proposed circuit features an analog center-of-gravity defuzzification circuit which can process digitally stored parameters without local D/A conversion. A completely functional research prototype with 80 rules was fabricated in a 2 μm CMOS technology. The chip core area is 1.32 mm2, the power consumption is 850 nW with a 1.8 V supply, and the 90% settling time in response to an input step is less than 400 μs
Keywords :
CMOS analogue integrated circuits; analogue processing circuits; fuzzy neural nets; neural chips; 1.8 V; 2 micron; 850 nW; CMOS technology; analog center-of-gravity defuzzification circuit; chip core area; digitally stored parameters; fuzzy rule arrays; linear MOS transistor network; linear resistive elements; low-power analog fuzzy rule chip; power consumption; processing steps; settling time; CMOS technology; Circuits; Electronic mail; Energy consumption; MOSFETs; Resistors; Semiconductor device measurement; Silicon; Time factors; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Microelectronics for Neural Networks, 1996., Proceedings of Fifth International Conference on
Conference_Location :
Lausanne
ISSN :
1086-1947
Print_ISBN :
0-8186-7373-7
Type :
conf
DOI :
10.1109/MNNFS.1996.493776
Filename :
493776
Link To Document :
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