한국지능시스템학회:학술대회논문집 (Proceedings of the Korean Institute of Intelligent Systems Conference)
- 한국퍼지및지능시스템학회 1998년도 The Third Asian Fuzzy Systems Symposium
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- Pages.404-409
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- 1998
A Learning Algorithm of Fuzzy Neural Networks with Trapezoidal Fuzzy Weights
- Lee, Kyu-Hee (Computer Science Department, Yonsei University) ;
- Cho, Sung-Bae (Computer Science Department, Yonsei University)
- 발행 : 1998.06.01
초록
In this paper, we propose a learning algorithm of fuzzy neural networks with trapezoidal fuzzy weights. This fuzzy neural networks can use fuzzy numbers as well as real numbers, and represent linguistic information better than standard neural networks. We construct trapezodal fuzzy weights by the composition of two triangles, and devise a learning algorithm using the two triangular membership functions, The results of computer simulations on numerical data show that the fuzzy neural networks have high fitting ability for target output.