International Journal of Fuzzy Logic and Intelligent Systems

  • 제2권3호
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  • Pages.215-220
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  • 2002
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  • 1598-2645(pISSN)
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  • 2093-744X(eISSN)
한국지능시스템학회 (Korean Institute of Intelligent Systems)
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Image Recognition by Learning Multi-Valued Logic Neural Network

  • Kim, Doo-Ywan (Faculty of Computer & Information Communication Engineering Catholic University) ;
  • Chung, Hwan-Mook (Faculty of Computer & Information Communication Engineering Catholic University)
  • 발행 : 2002.12.01
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초록

This paper proposes a method to apply the Backpropagation(BP) algorithm of MVL(Multi-Valued Logic) Neural Network to pattern recognition. It extracts the property of an object density about an original pattern necessary for pattern processing and makes the property of the object density mapped to MVL. In addition, because it team the pattern by using multiple valued logic, it can reduce time f3r pattern and space fer memory to a minimum. There is, however, a demerit that existed MVL cannot adapt the change of circumstance. Through changing input into MVL function, not direct input of an existed Multiple pattern, and making it each variable loam by neural network after calculating each variable into liter function. Error has been reduced and convergence speed has become fast.

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참고문헌

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피인용 문헌

  1. Multiple Instance Mamdani Fuzzy Inference vol.15, pp.4, 2015, https://doi.org/10.5391/IJFIS.2015.15.4.217