Hardware Implementation of an Adaptive Mixed Signal Neuro Fuzzy System Using High Speed and Low Power Analog CMOS Circuits
نویسندگان
چکیده
In this paper we design of an adaptive Nero fuzzy system with mixed-signal inputs and digital outputs. In this paper analog advantages including low die area, high speed and simplicity are added to the digital advantages, such as programmability, robust against noise and distortions. a new programmable Fuzzifier circuit based on mixed-signal input, and min circuit for inference and Multiplier/Divider circuit for defuzzifier block and a current mode high speed flash Analog to Digital (A/D) converter with 4bit resolution are proposed. The inference speed of the system is about 18.18 MFLIPS. The controller simulated in 0.35um CMOS standard technology.
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