DocumentCode
1734166
Title
A New Structure of the Random Fuzzy Theory on BP Neural Network Model
Author
Yilei, Wang ; Lihua, Song ; Li Tao ; Yanhua, Gong
Author_Institution
School of Computer Science and technology, Lu Dong University, Yantai, 264025, China
fYear
2007
Abstract
The author first introduces the typical back-propagation ANN´s model and the reasons why we used it in this paper. And then, the author states the random fuzzy theory and gives some useful definition and theorem that were used in the next part. In the last part of this paper, the author gives the new structure and the process of BP model on the random fuzzy theory, which is widely used nowadays.
Keywords
backpropagation; fuzzy neural nets; artificial neural network; backpropagation neural network; random fuzzy theory; Computer science; Feedforward neural networks; Feedforward systems; Fuzzy neural networks; Instruments; Multi-layer neural network; Neural networks; Neurons; Random variables; Solids; BP Neural Network; Fuzzy Theory; Random Theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-4244-1136-8
Electronic_ISBN
978-1-4244-1136-8
Type
conf
DOI
10.1109/ICEMI.2007.4351096
Filename
4351096
Link To Document