A new BP neural network model based on the random fuzzy theory

被引：1
|
作者：
Sun, Yujuan [1 ]
Wang, Yilei [1 ]
Li, Tao [2 ]
Liu, Peng [1 ]
机构：
[1] Lu Dong Univ, Sch Comp Sci & Technol, Yantai 264025, Shandong, Peoples R China
[2] Lu Dong Univ, Network Ctr Comp Sci, Yantai 264025, Shandong, Peoples R China
来源：
FOURTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 1, PROCEEDINGS | 2007年
关键词：
D O I：
10.1109/FSKD.2007.71
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：42 / +
页数：2
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