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International Conference on Information Technology and Scientific Management (ICITSM 2010 E-BOOK)

Tianjin,China,12.20-12.21,2010

ISBN: 978-1-935068-40-2 Scientific Research Publishing, USA

E-Book 1078pp Pub. Date: December 2010

Category: Computer Science & Communications

Price: $220

Title: Tactic of Case Retrieval Based on Rough Set Theory and Artificial Neural Network
Source: International Conference on Information Technology and Scientific Management (ICITSM 2010 E-BOOK) (pp 864-867)
Author(s): Wu Deng, Software Institute，Dalian Jiaotong University, Dalian, China, 116028/Key Laboratory of Intelligent Manufacture of Hunan Province, Xiangtan University Xiangtan China, 411105/Key Laboratory of Advanced Design and Intelligent Computing (Dalian University), M
Fajun Guo, Software Institute，Dalian Jiaotong University, Dalian, China, 116028
Chao Feng, Software Institute，Dalian Jiaotong University, Dalian, China, 116028
Abstract: In order to improve efficiency and quality of case retrieval in case-based reasoning system, a case retrieval model based on the integration of rough set theory and artificial neural network is presented. The paper analyzes and deals with case database using rough set theory in order to obtain the minimum case feature subset which is regarded as the inputs of RBF neural network for training the network. The pretreated requirement problem is inputted the optimized network model to find out the nearest case that is the design plan for design reference.
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