An optimization Algorithm of LVQ Neural Network Classification by GA

Liang Liu; Xiao Hong He; Hao Sun

doi:10.4028/www.scientific.net/AMM.321-324.2203

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 321-324An optimization Algorithm of LVQ Neural Network...

An optimization Algorithm of LVQ Neural Network Classification by GA

Abstract:

This paper describes a dimension reduction method of input vector to improve classification efficiency of LVQ neural network, where GA is used to decrease the redundancy of input data. And in order to solve the initial weight vector sensitivity, GA is also employed to optimize the initial vector. The experimental results on the UCI data sets demonstrate that the efficiency and accuracy of our LVQ network by GA is higher than general LVQ neural network classification algorithm.

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Periodical:

Applied Mechanics and Materials (Volumes 321-324)

Pages:

2203-2208

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.321-324.2203

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Online since:

June 2013

Authors:

Liang Liu, Xiao Hong He, Hao Sun

Keywords:

Classification, Dimension Reduction, Genetic Algorithm (GA), Learning Vector Quantization (LVQ)

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