𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Genetic algorithm design of neural network and fuzzy logic controllers

✍ Scribed by A. Hunter; K.-S. Chiu


Publisher
Springer
Year
2000
Tongue
English
Weight
224 KB
Volume
4
Category
Article
ISSN
1432-7643

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Genetic algorithm-based learning of fuzz
✍ 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

Merging fuzzy logic, neural networks, an
✍ V. Loia; S. Sessa; A. Staiano; R. Tagliaferri πŸ“‚ Article πŸ“… 2000 πŸ› John Wiley and Sons 🌐 English βš– 160 KB πŸ‘ 2 views

The main goal of evolutionary computation is to provide a near optimal technique between exploration and exploitation of a search space. This approach is based on a genetic ''engine'' that operates the search of the optimal solution via biological-based assumptions. Selection of the optimal maintena

A hybrid genetic fuzzy neural network al
✍ Ralf Γ–stermark πŸ“‚ Article πŸ“… 2000 πŸ› Elsevier Science 🌐 English βš– 209 KB

We propose a multigroup classiΓΏcation algorithm based on a hybrid genetic fuzzy neural net (GFNN) framework. Recent results on evolutionary computation and fuzzy neural network methodology are combined to e ectively adapt the membership functions of the fuzziΓΏer and the defuzziΓΏer to the data set. S