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Proceedings Paper

Knowledge extracted from trained neural networks: What's next?
Author(s): Jing Tao Yao
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Paper Abstract

One of the major drawbacks or challenges of neural network models is that these models can not explain what they have done. Extracting rules from trained neural networks is one of the solutions for understanding the networks. However, what we should do with these extracted rules remains a research question. This paper tries to address issues on effectively and efficiently utilizing extracted rules or knowledge.

Paper Details

Date Published: 28 March 2005
PDF: 7 pages
Proc. SPIE 5812, Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005, (28 March 2005); doi: 10.1117/12.604463
Show Author Affiliations
Jing Tao Yao, Univ. of Regina (Canada)


Published in SPIE Proceedings Vol. 5812:
Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005
Belur V. Dasarathy, Editor(s)

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