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
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;
Conference_Titel :
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4325-5
DOI :
10.1109/ICOSP.1998.770873
