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
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;
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
DOI :
10.1109/ICEMI.2007.4351096
