Hardware realization of fast defuzzification by adaptive integration

Hardware realization of fast defuzzification by adaptive integration

A fast defuzzification method for hardware realizations of fuzzy inference algorithms is presented. Processing time as well as power dissipation are significantly reduced by an adaptive integration of the output possibility distribution. In addition to that, a user-programmable resolution of the out...

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Hauptverfasser: Eisele, M., Hentschel, K., Kunemund, T.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Adders
Coprocessors
Design automation
Fuzzy control
Fuzzy systems
Hardware
Inference algorithms
Power dissipation
Runtime
Silicon
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Hentschel, K.
Kunemund, T.
description A fast defuzzification method for hardware realizations of fuzzy inference algorithms is presented. Processing time as well as power dissipation are significantly reduced by an adaptive integration of the output possibility distribution. In addition to that, a user-programmable resolution of the output variables is achieved. The new method has been implemented on the 8-bit Fuzzy Coprocessor SAE 81C99.
doi_str_mv 10.1109/ICMNN.1994.593726
format Conference Proceeding
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identifier ISBN: 9780818667107
ispartof Proceedings of the Fourth International Conference on Microelectronics for Neural Networks and Fuzzy Systems, 1994, p.318-323
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Adders
Coprocessors
Design automation
Fuzzy control
Fuzzy systems
Hardware
Inference algorithms
Power dissipation
Runtime
Silicon
title Hardware realization of fast defuzzification by adaptive integration
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