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政大機構典藏 > 商學院 > 資訊管理學系 > 期刊論文 > Item 140.119/27077

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/27077

Title:	The Evolution of Internal Representation
Authors:	Tsaih,Rua-Huan 蔡瑞煌
Keywords:	Internal representation;Recruiting mechanism;Pruning mechanism;Generalized delta rule
Date:	2003-08
Issue Date:	2009-01-17 16:08:18 (UTC+8)
Abstract:	To develop an appropriate internal representation, a deterministic learning algorithm that can adjust not only weights but also the number of adopted hidden nodes is proposed. The key mechanisms are 1. (1) the recruiting mechanism that recruits proper extra hidden nodes, and 2.(2) the reasoning mechanism that prunes potentially irrelevant hidden nodes. This learning algorithm can make use of external environmental clues to develop an internal representation appropriate for the required mapping. The encoding problem and the parity problem are used to demonstrate the performance of the proposed algorithm. The experimental results are clearly positive.
Relation:	Mathematical and Computer Modelling, 38(3), 339-350
Data Type:	article
DOI 連結:	http://dx.doi.org/10.1016/S0895-7177(03)90092-6
DOI:	10.1016/S0895-7177(03)90092-6
Appears in Collections:	[資訊管理學系] 期刊論文

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