A Statistics Based Approach for Extracting Priority Rules from Trained Neural Networks

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http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.861337

IEEE-INNS-ENNS International Joint Co ...

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	Zhi-Hua Zhou, Shi-Fu Chen, Zhao-Qian Chen, "A Statistics Based Approach for Extracting Priority Rules from Trained Neural Networks," Neural Networks, IEEE - INNS - ENNS International Joint Conference on, vol. 3, pp. 3401, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 3, 2000.

	BibTex	x
	@article{ 10.1109/IJCNN.2000.861337, author = {Zhi-Hua Zhou and Shi-Fu Chen and Zhao-Qian Chen}, title = {A Statistics Based Approach for Extracting Priority Rules from Trained Neural Networks}, journal ={Neural Networks, IEEE - INNS - ENNS International Joint Conference on}, volume = {3}, year = {2000}, issn = {1098-7576}, pages = {3401}, doi = {http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.861337}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Neural Networks, IEEE - INNS - ENNS International Joint Conference on TI - A Statistics Based Approach for Extracting Priority Rules from Trained Neural Networks SN - 1098-7576 SP EP A1 - Zhi-Hua Zhou, A1 - Shi-Fu Chen, A1 - Zhao-Qian Chen, PY - 2000 VL - 3 JA - Neural Networks, IEEE - INNS - ENNS International Joint Conference on ER -

Zhi-Hua Zhou, Nanjing University

Shi-Fu Chen, Nanjing University

Zhao-Qian Chen, Nanjing University

In this paper, a statistics based approach named STARE that is designed to extract symbolic rules from trained neural networks is proposed. STARE deals with continuous attributes in a unique way so that not only different attributes could be discretized to different number of clusters but also unnecessary discretization could be avoided. STARE introduces statistics to the generation and evaluation of priority rules that have concise appearance. Since it is independent of the network architectures and training algorithms, STARE could be applied to diversified neural classifiers. Experimental results show that rules extracted via STARE are comprehensible, compact and accurate.

Citation:

Zhi-Hua Zhou, Shi-Fu Chen, Zhao-Qian Chen, "A Statistics Based Approach for Extracting Priority Rules from Trained Neural Networks," ijcnn, vol. 3, pp.3401, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 3, 2000

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