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
β¦ LIBER β¦
Logic-oriented neural networks for fuzzy neurocomputing
β Scribed by Witold Pedrycz; Rafik A. Aliev
- Book ID
- 113816167
- Publisher
- Elsevier Science
- Year
- 2009
- Tongue
- English
- Weight
- 967 KB
- Volume
- 73
- Category
- Article
- ISSN
- 0925-2312
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Design neural networks based fuzzy logic
β
Yupu Yang; Xiaoming Xu; Wenyuan Zhang
π
Article
π
2000
π
Elsevier Science
π
English
β 95 KB
Neural network implementation of fuzzy l
β
James M. Keller; Ronald R. Yager; Hossein Tahani
π
Article
π
1992
π
Elsevier Science
π
English
β 763 KB
Fuzzy logic controlled neural network le
β
Qing Hu; David B. Hertz
π
Article
π
1994
π
Elsevier Science
π
English
β 840 KB
Fuzzy logic, neural networks and soft co
β
Lotfi Z. Zadeh
π
Article
π
1993
π
Elsevier Science
β 69 KB
Incorporating fuzzy logic with neural ne
β
S.C. Hui; A. Goh
π
Article
π
1996
π
Elsevier Science
π
English
β 892 KB
Neural networks and fuzzy logic in power
β
Bor-Ren Lin; R.G. Hoft
π
Article
π
1994
π
Elsevier Science
π
English
β 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