Knowledge extracted from trained neural networks: What's next?

Jing Tao Yao

doi:10.1117/12.604463

28 March 2005 Knowledge extracted from trained neural networks: What's next?

Jing Tao Yao

Proceedings Volume 5812, Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005; (2005) https://doi.org/10.1117/12.604463
Event: Defense and Security, 2005, Orlando, Florida, United States

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.

Citation Download Citation

Jing Tao Yao "Knowledge extracted from trained neural networks: What's next?", Proc. SPIE 5812, Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005, (28 March 2005); https://doi.org/10.1117/12.604463

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