OPTIMIZING IMAGE CLASSIFICATION USING A NEURAL NETWORK

The paper analyzes the images belong to someone classification using self-organizing neural network, proposing solutions for optimizations. From considerations of reducing the size of the input space of neural network and also to reduce the amount of computation is proposed using principal component...

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Bibliographic Details
Published in:Scientific Bulletin ("Mircea cel Bătrân" Naval Academy) 2014-01, Vol.17 (1), p.90
Main Authors: Pîrloaga, Dorin-Marian, Apostol, Cristian-Gabriel, Rogobete, Marius, Rãcuciu, Ciprian
Format: Article
Language:English
Subjects:
Bayesian analysis
Neural networks
Optimization
Principal components analysis
Online Access:Get full text
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Summary:The paper analyzes the images belong to someone classification using self-organizing neural network, proposing solutions for optimizations. From considerations of reducing the size of the input space of neural network and also to reduce the amount of computation is proposed using principal component analysis (PCA). The method proposed Karhunen-Loeve transform matrix calculation.
ISSN:1454-864X
2392-8956