政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/35271

政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/35271

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题名:	A Mathematical Study of the Rule Extraction of a 3-layered Feed-forward Neural Networks
作者:	林志忠 Lin, Chih-chung
贡献者:	蔡瑞煌 Tsaih, Ray 林志忠 Lin, Chih-chung
关键词:	類神經網路法則萃取反函數 neural networks rule-extraction inversion function
日期:	2004
上传时间:	2009-09-18 14:36:15 (UTC+8)
摘要:	對於神經網路系統將提出一個法則萃取的方式，並從神經網路中得到相關法則。在這裡我們所提到的方法是根據反函數的觀念而得到的。 A rule-extraction method of the layered feed-forward neural networks is proposed here for identifying the rules suggested in the network. The method that we propose for the trained layered feed-forward neural network is based on the inversion of the functions computed by each layer of the network. The new rule-extraction method back-propagates regions from the output layer back to the input layer, and we hope that the method can be used further to deal with the predicament of ANN being a black box.
參考文獻:	[1] Andrews, R., Diederich, J., and Tickle, A. (1995). “A survey and critique of techniques for extracting rules from trained artificial neural networks.” Knowledge-Based System, Vol. 8, Issue 6, pp. 373 -389. [2] Zhou, R. R., Chen, S. F., and Chen, Z. Q. (2000). “A statistics based approach for extracting priority rules from trained neural networks.” In: Proceedings of the IEEE-INNS-ENNS International Join Conference on Neural Network, Como, Italy, Vol. 3, pp. 401 -406. [3] Thrun, S. B., and Linden, A. (1990). “Inversion in time.” In: Proceedings of the EURASIP Workshop on Neural Networks, Sesimbra, Portugal. [4] Ke, W. C. (2003). “The Rule Extraction from Multi-layer Feed-forward Neural Networks.” Taiwan: National Chengchi University. [5] Tsaih, R., and Lin, C. C. (2004). “The Layered Feed-Forward Neural Networks and Its Rule Extraction.” In: Proceeding of ISNN 2004 International Symposium on Neural Networks, Dalian, China, pp. 377 -382. [6] Rumelhart, D. E., Hinton, G. E., and Williams, R., “Learning internal representation by error propagation,” in Parallel Distributed Processing, vol. 1, Cambridge, MA: MIT Press, 1986, pp. 318-362. [7] Tsaih, R. (1998). “An Explanation of Reasoning Neural Networks.” Mathematical and Computer Modeling, vol. 28, pp. 37 -44. [8] Maire, F. (1999). “Rule-extraction by backpropagation of polyhedra.” Neural Networks, vol. 12, pp. 717 -725.
描述:	碩士國立政治大學資訊管理研究所 92356014 93
資料來源:	http://thesis.lib.nccu.edu.tw/record/#G0923560141
数据类型:	thesis
显示于类别:	[資訊管理學系] 學位論文

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