전자공학회논문지B (Journal of the Korean Institute of Telematics and Electronics B)
- 제33B권2호
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- Pages.118-130
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- 1996
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- 1016-135X(pISSN)
퍼지 신경망을 이용한 퍼지 추론 시스템의 학습 및 추론
Learning and inference of fuzzy inference system with fuzzy neural network
초록
Fuzzy inference is very useful in expressing ambiguous problems quantitatively and solving them. But like the most of the knowledge based inference systems. It has many difficulties in constructing rules and no learning capability is available. In this paper, we proposed a fuzzy inference system based on fuzy associative memory to solve such problems. The inference system proposed in this paper is mainly composed of learning phase and inference phase. In the learning phase, the system initializes it's basic structure by determining fuzzy membership functions, and constructs fuzzy rules in the form of weights using learning function of fuzzy associative memory. In the inference phase, the system conducts actual inference using the constructed fuzzy rules. We applied the fuzzy inference system proposed in this paper to a pattern classification problem and show the results in the experiment.
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