Study of Principle Component Analysis and Learning Vector Quantization Genetic Neural Networks

Study of Principle Component Analysis and Learning Vector Quantization Genetic Neural Networks

In this work, the Genetic Algorithm (GA) is used to improve the performance ofLearning Vector Quantization Neural Network (LVQ-NN), simulation results show thatthe GA algorithm works well in pattern recognition field and it converges much fasterthan conventional competitive algorithm. Signature reco...

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Bibliographic Details
Main Authors: Mazin Z. Othman, Arif A. Al-Qassar
Format: Article
Language:English
Published: Unviversity of Technology- Iraq 2009-01-01
Series:Engineering and Technology Journal
Subjects:
neural networks
genetic algorithms
principle component analysis
learning vector quantization
signature recognition
Online Access:https://etj.uotechnology.edu.iq/article_28561_73656da51c16c1ee13af5d475e334304.pdf

Internet

https://etj.uotechnology.edu.iq/article_28561_73656da51c16c1ee13af5d475e334304.pdf

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