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http://hdl.handle.net/10397/1352
Title: | A genetic algorithm based variable structure neural network | Authors: | Ling, SH Lam, HK Leung, FHF Lee, YS |
Issue Date: | 2003 | Source: | IECON'03 : the 29th annual conference of the IEEE Industrial Electronics Society : Roanoke, Virginia, USA, November 2nd (Sunday) to Thursday, November 6th (Thursday) 2003, p. 436-441 | Abstract: | This paper presents a neural network model with a variable structure, which is trained by genetic algorithm (GA). The proposed neural network consists of a Neural Network with a Node-to-Node Relationship (N[sup 4]R) and a Network Switch Controller (NSC). In the N[sup 4]R, a modified neuron model with two activation functions in the hidden layer, and switches in its links are introduced. The NSC controls the switches in the N[sup 4]R. The proposed neural network can model different input patterns with variable network structures. The proposed neural network provides better result and learning ability than traditional feed forward neural networks. Two application examples on XOR problem and hand-written pattern recognition are given to illustrate the merits of the proposed network. | Keywords: | Genetic algorithm Neural network Hand-written pattern recognition |
Publisher: | IEEE | ISBN: | 0-7803-7906-3 | Rights: | © 2003 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. |
Appears in Collections: | Conference Paper |
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Algorithm based variable structure_03.pdf | 378.38 kB | Adobe PDF | View/Open |
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