Some neural net realizations of fuzzy reasoning
✍ Scribed by Kuhu Pal; Nikhil Pal; James Keller
- Publisher
- John Wiley and Sons
- Year
- 1998
- Tongue
- English
- Weight
- 251 KB
- Volume
- 13
- Category
- Article
- ISSN
- 0884-8173
No coin nor oath required. For personal study only.
✦ Synopsis
In this paper we analyze the neural network implementation of fuzzy logic proposed by w Ž .
x Keller et al. Fuzzy Sets Syst., 45, 1᎐12 1992 , derive a learning algorithm for obtaining Ž an optimal ␣ for the net, and, for a special case, we show how one can directly avoiding . training compute the optimal ␣. We address how training data can be generated for such a system. Effectiveness of the optimal ␣ is then established through numerical examples. In this regard, several indices for performance evaluation are discussed. Finally, we propose a new architecture and demonstrate its effectiveness with numerical examples.