DocumentCode
468096
Title
A New BP Neural Network Model Based on the Random Fuzzy Theory
Author
Sun, Yujuan ; Wang, Yilei ; Li, Tao ; Liu, Peng
Author_Institution
Lu Dong Univ., Yantai
Volume
1
fYear
2007
fDate
24-27 Aug. 2007
Firstpage
42
Lastpage
45
Abstract
The field of neural networks can be thought of as being related to artificial intelligence, machine learning, parallel processing, statistics, and other fields. The attraction of neural networks is that they are best suited to solving the problems that are the most difficult to solve by traditional computational methods. In this paper, the author first stated the importance and the application of the neural network and then puts the emphasis on presenting the BP neural network that is widely used in many fields. In the second part, the author recommends the random fuzzy theory and gives some useful definition and theorem that will be used in the next part. In the part of this paper, the author put forward a new BP model based on the random fuzzy theory and gives the advantages of it.
Keywords
backpropagation; fuzzy set theory; neural nets; random processes; backpropagation neural network; problem solving; random fuzzy theory; Artificial neural networks; Computer networks; Computer science; Decoding; Feedforward neural networks; Feeds; Fuzzy neural networks; Neural networks; Optical character recognition software; Optical propagation;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location
Haikou
Print_ISBN
978-0-7695-2874-8
Type
conf
DOI
10.1109/FSKD.2007.71
Filename
4405885
Link To Document