𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Fuzzy neural networks: A survey

✍ Scribed by James J. Buckley; Yoichi Hayashi

Publisher
Elsevier Science
Year
1994
Tongue
English
Weight
888 KB
Volume
66
Category
Article
ISSN
0165-0114

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Fuzzy number neural networks
Fuzzy number neural networks
✍ James Dunyak; Donald Wunsch πŸ“‚ Article πŸ“… 1999 πŸ› Elsevier Science 🌐 English βš– 156 KB

This paper presents a practical algorithm for training neural networks with fuzzy number weights, inputs, and outputs. Typically, fuzzy number neural networks are di cult to train because of the many -cut constraints implied by the fuzzy weights. A transformation is used to eliminate these constrain

Fuzzy regression by fuzzy number neural
Fuzzy regression by fuzzy number neural networks
✍ James P. Dunyak; Donald Wunsch πŸ“‚ Article πŸ“… 2000 πŸ› Elsevier Science 🌐 English βš– 148 KB

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

Genetic algorithm-based learning of fuzz
Genetic algorithm-based learning of fuzzy neural networks. Part 1: feed-forward fuzzy neural networks
✍ Rafik A. Aliev; Bijan Fazlollahi; Rustam M. Vahidov πŸ“‚ Article πŸ“… 2001 πŸ› Elsevier Science 🌐 English βš– 93 KB

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

Adaptive fuzzy inference neural network
Adaptive fuzzy inference neural network
✍ Hitoshi Iyatomi; Masafumi Hagiwara πŸ“‚ Article πŸ“… 2004 πŸ› Elsevier Science 🌐 English βš– 166 KB