Analog VLSI signal fuzzifier

Teresa Wong; Mohammed Ismail

doi:10.1117/12.205144

6 April 1995 Analog VLSI signal fuzzifier

Teresa Wong, Mohammed Ismail

Proceedings Volume 2492, Applications and Science of Artificial Neural Networks; (1995) https://doi.org/10.1117/12.205144
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

In this paper, an analog fuzzifier is designed and verified by SPICE simulation. 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 grade of memberships. It takes voltage-mode inputs and produces current-mode outputs for easy manipulations of the output fuzzy signals by the arithematic operations that follow. Furthermore, the fuzzifier is so flexible such 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 design of each building block is relatively simple as it only consists of four PMOS, four resistors and three current sources. The high speed of analog implementation also makes this fuzzifier more attractive than software implementations of the fuzzification process.

Citation Download Citation

Teresa Wong and Mohammed Ismail "Analog VLSI signal fuzzifier", Proc. SPIE 2492, Applications and Science of Artificial Neural Networks, (6 April 1995); https://doi.org/10.1117/12.205144

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