OPTIMIZING IMAGE CLASSIFICATION USING A NEURAL NETWORK

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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Veröffentlicht in:Scientific Bulletin ("Mircea cel Bătrân" Naval Academy) 2014-01, Vol.17 (1), p.90
Hauptverfasser: Pîrloaga, Dorin-Marian, Apostol, Cristian-Gabriel, Rogobete, Marius, Rãcuciu, Ciprian
Format: Artikel
Sprache:eng
Schlagworte:
Bayesian analysis
Neural networks
Optimization
Principal components analysis
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Zusammenfassung: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