DocumentCode
2871276
Title
Extraction of logic rules on the basis of robust binary feedforward neural networks
Author
Junying, Zhang ; Zheng, Bao
Author_Institution
Res. Inst. of Electron. Eng., Xidian Univ., Xi´´an, China
Volume
2
fYear
1998
fDate
1998
Firstpage
1364
Abstract
This paper, on the basis of the connection weights of robust binary feedforward neural networks (robust BNNs) being -1, 0 or +1, points out that the extraction of logic rules from robust BNNs is much easier than that from ordinary feedforward neural networks. It also puts forward the point that robust BNNs are a perfect unification of a logic knowledge database, an inference machine and an interpretation machine
Keywords
feedforward neural nets; inference mechanisms; knowledge acquisition; connection weights; inference machine; interpretation machine; logic knowledge database; logic rule extraction; robust binary feedforward neural networks; Artificial neural networks; Data engineering; Databases; Feedforward neural networks; Inference algorithms; Knowledge engineering; Logic; Neural networks; Neurons; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-4325-5
Type
conf
DOI
10.1109/ICOSP.1998.770873
Filename
770873
Link To Document