𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Fuzzy logic controlled neural network learning

✍ Scribed by Qing Hu; David B. Hertz

Publisher
Elsevier Science
Year
1994
Tongue
English
Weight
840 KB
Volume
2
Category
Article
ISSN
1069-0115

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Design neural networks based fuzzy logic
Design neural networks based fuzzy logic
✍ Yupu Yang; Xiaoming Xu; Wenyuan Zhang πŸ“‚ Article πŸ“… 2000 πŸ› Elsevier Science 🌐 English βš– 95 KB

The integration of fuzzy logic and neural networks has given birth to an emerging technology ΓΏeld, fuzzy neural networks. The fuzzy neural networks have the potential to capture the beneΓΏts of the two fascinating ΓΏelds into a single capsule. In this paper three approaches of implementing and constru

Neural networks and fuzzy logic in power
Neural networks and fuzzy logic in power electronics
✍ Bor-Ren Lin; R.G. Hoft πŸ“‚ Article πŸ“… 1994 πŸ› Elsevier Science 🌐 English βš– 717 KB

Power electronics has developed rapidly during recent years. It involves the technologies of power semiconductor devices, convener circuits, electrical machines and VLSI circuits, as well as advanced control theory. This paper reviews neural network and fuzzy logic approaches in buck converters, inv

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