We discuss the direct fuzzification of a standard layered, feedforward, neural network where the signals and weights are fuzzy sets. A fuzzified delta rule is presented for learning. Three applications are given including fuzzy expert systems, fuzzy hierarchical analysis, and fuzzy systems modeling.
โฆ LIBER โฆ
Fast decorrelated neural network ensembles with random weights
โ Scribed by Alhamdoosh, Monther; Wang, Dianhui
- Book ID
- 122132508
- Publisher
- Elsevier Science
- Year
- 2014
- Tongue
- English
- Weight
- 787 KB
- Volume
- 264
- Category
- Article
- ISSN
- 0020-0255
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Fuzzy neural network with fuzzy signals
โ
Yoichi Hayashi; James J. Buckley; Ernest Czogala
๐
Article
๐
1993
๐
John Wiley and Sons
๐
English
โ 534 KB
Extended feed forward neural networks wi
โ
Lu, Jing; Zhao, Jianwei; Cao, Feilong
๐
Article
๐
2014
๐
Elsevier Science
๐
English
โ 504 KB
Neural Network Load Forecasting with Wea
โ
Taylor, J. W.; Buizza, R.
๐
Article
๐
2002
๐
IEEE
๐
English
โ 437 KB
Neural network load forecasting with wea
โ
Taylor, J.W.; Buizza, R.
๐
Article
๐
2002
๐
IEEE
๐
English
โ 241 KB
Fast track finding with neural networks
โ
Georg Stimpfl-Abele; Lluรญs Garrido
๐
Article
๐
1991
๐
Elsevier Science
๐
English
โ 813 KB
We have used a neural network (NN) technique for track reconstruction in a realistic environment. An algorithm based on an Hopfield-style recurrent NN was developed and tested on the track coordinates measured by the TPC of the ALEPH detector at LEP. The efficiency and time consumption are given and
Optical neural networks with unipolar we
โ
F.M. Dickey; J.M. DeLaurentis
๐
Article
๐
1993
๐
Elsevier Science
๐
English
โ 222 KB