Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/35271
題名: A Mathematical Study of the Rule Extraction of a 3-layered Feed-forward Neural Networks
作者: 林志忠
Lin, Chih-chung
貢獻者: 蔡瑞煌
Tsaih, Ray
林志忠
Lin, Chih-chung
關鍵詞: 類神經網路
法則萃取
反函數
neural networks
rule-extraction
inversion function
日期: 2004
上傳時間: 18-Sep-2009
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
資料類型: thesis
Appears in Collections:學位論文

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