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政大機構典藏 > 商學院 > 資訊管理學系 > 國科會研究計畫 > Item 140.119/53492

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/53492

Title:	利用preimage分析萃取規則之實作
Other Titles:	An Illustration of Rule Extraction through the Preimage Analysis
Authors:	蔡瑞煌
Contributors:	國立政治大學資訊管理學系行政院國家科學委員會
Keywords:	單一隱藏層倒傳遞神經網路;preimage;preimage 分析法;債券評價;規則萃取 single-hidden layer feed-forward neural network;preimage;preimage analysis;bond pricing;rule extraction
Date:	2008
Issue Date:	2012-08-30 15:50:46 (UTC+8)
Abstract:	本研究採信單一隱藏層倒傳遞神經網路之規則萃取可透過preimage 分析法。本研究利用債券評價之實例以及透過preimage 分析法萃取之規則，來確認preimage 分析法可用來區別學習所得之單一隱藏層倒傳遞神經網路。 This study adopts the idea that the rule extraction of the real-valued single-hidden layer feed-forward neural network (SLFN) can be done through mathematically analyzing its preimage, which is the set of input values for a given output value. This study uses the case of bond pricing to demonstrate the rule extraction through the preimage analysis and shows that the preimage analysis can differentiate rules extracted from different obtained SLFNs, and thus can differentiate obtained SLFNs.
Relation:	基礎研究學術補助研究期間:9708~ 9807 研究經費:578仟元
Data Type:	report
Appears in Collections:	[資訊管理學系] 國科會研究計畫

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