In spite of great importance of fuzzy feed-forward and recurrent neural networks (FNN) for solving wide range of real-world problems, today there is no e ective learning algorithm for FNN. In this paper we propose an e ective geneticbased learning mechanism for FNN with fuzzy inputs, fuzzy weights e
A learning algorithm of fuzzy neural networks with triangular fuzzy weights
β Scribed by Hisao Ishibuchi; Kitaek Kwon; Hideo Tanaka
- Publisher
- Elsevier Science
- Year
- 1995
- Tongue
- English
- Weight
- 733 KB
- Volume
- 71
- Category
- Article
- ISSN
- 0165-0114
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