𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Identification of fuzzy relational equations by fuzzy neural networks

✍ Scribed by A. Blanco; M. Delgado; I. Requena


Book ID
107902762
Publisher
Elsevier Science
Year
1995
Tongue
English
Weight
500 KB
Volume
71
Category
Article
ISSN
0165-0114

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Fuzzy regression by fuzzy number neural
✍ 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

Hybrid identification in fuzzy-neural ne
✍ Sung-Kwun Oh; Witold Pedrycz; Ho-Sung Park πŸ“‚ Article πŸ“… 2003 πŸ› Elsevier Science 🌐 English βš– 600 KB

This paper introduces an identiΓΏcation method for nonlinear models in the form of Fuzzy-Neural Networks (FNN). In this model, we use two forms of the fuzzy inference methods-a simpliΓΏed and linear fuzzy inference, and exploit a standard Error Back Propagation learning algorithm. The FNN modeling and