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|Title:||A variable-parameter neural network trained by improved genetic algorithm and its application|
|Authors:||Ling, S. H.|
Lam, H. K.
Leung, Frank H. F.
|Source:||2005 IEEE International Joint Conference on Neural Networks (IJCNN) : Montreal, QC, Canada, July 31-August 4, 2005, p. 1343-1348.|
|Abstract:||This paper presents a neural network with variable parameters. These variable parameters adapt to the changes of the input environment, and tackle different input data sets in a large domain. Each input data set is effectively handled by its corresponding set of network parameters. Thus, the proposed neural network exhibits a better learning and generalization ability than a traditional one. An improved genetic algorithm  is proposed to train the network parameters. An application example on hand-written pattern recognition will be presented to verify and illustrate the improvement.|
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|Appears in Collections:||EIE Conference Papers & Presentations|
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