In this paper, we describe a method for nonlinear fuzzy regression using neural network models. In earlier work, strong assumptions were made on the form of the fuzzy number parameters: symmetric triangular, asymmetric triangular, quadratic, trapezoidal, and so on. Our goal here is to substantially
Fuzzy classification by fuzzy labeled neural gas
β Scribed by Th. Villmann; B. Hammer; F. Schleif; T. Geweniger; W. Herrmann
- Publisher
- Elsevier Science
- Year
- 2006
- Tongue
- English
- Weight
- 819 KB
- Volume
- 19
- Category
- Article
- ISSN
- 0893-6080
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