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FLIP++ a fuzzy logic inference processor library
1997FLIP++ is a fuzzy logic inference processor library. This C++ library was developed to perform calculations with uncertain data and priorities. It evaluates various types of rules, having different importances, from a hierarchy of rules for uncertain or precise data. It evaluates only those parts of the hierarchy needed for the result.
Markus Bonner +3 more
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Speech recognition processors using fuzzy pattern matching
Proceedings of the IEEE 1988 Custom Integrated Circuits Conference, 2003A set of LSIs for speech recognition using binary time spectrum pattern (BTSP) and pattern matching based on fuzzy theory (fuzzy pattern matching) is described. The set offers both speaker-dependent and -independent voice-recognition capabilities by changing the external program ROM.
T. Ariyoshi +3 more
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Design and Implementation of a Fast General Purpose Fuzzy Processor
International Journal of System Dynamics Applications, 2013M. I. Mahmoud +4 more
semanticscholar +1 more source
Analog realization of fuzzifier for IT2 fuzzy processor
International Conference on Electronic Computer Technology, 2011Mamta Khosla +3 more
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Current-mode and voltage-mode VLSI fuzzy processor architecture
International Symposium on Circuits and Systems, 1995J. RamÃrez-Angulo +3 more
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A VLSI fuzzy processor with parallel rule execution
Proceedings of IEEE 5th International Fuzzy Systems, 1996M. Jacomet, R. Walti
semanticscholar +1 more source
Implementing an interval type-2 fuzzy processor onto a DSC 56F8013
International Conference on Fuzzy Systems, 2010L. L. Forero, M. Melgarejo
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Architecture of a fuzzy-processor based on an 8-bit microprocessor
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference, 1994A. Ungering, H. Bauer, K. Goser
semanticscholar +1 more source
RISC approach to design of fuzzy processor architecture
[1992 Proceedings] IEEE International Conference on Fuzzy Systems, 1992Hiroyuki Watanabe
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Teaching Fuzzy Control Using an Embedded Processor
2018Fuzzy control has become one of the most popular topics in automatic control engineering. The classical and intelligent fuzzy based control theory is taught in most undergraduate and postgraduate control engineering courses. In addition, the theory is backed-up by real control experiments carried out in the laboratories.
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