Pattern recognition using GAMLP systems: A comparative view as performance level

According to the special literature, a major research direction to improve the performance level assigned to a pattern recognition system is to use the specific paradigms of artificial intelligence domain. Having as starting point the indubitable advantages given by GANN (Genetic Algorithm Neural Ne...

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Bibliographic Details
Published in2012 9th International Conference on Communications (COMM) pp. 125 - 128
Main Authors Vizitiu, I-C, Ciotirnae, P., Vacs, A. K., Mazilu, M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2012
Subjects
Biological cells
Genetic algorithms
Genetics
MLP
Neural networks
Pattern recognition
Training
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Summary:According to the special literature, a major research direction to improve the performance level assigned to a pattern recognition system is to use the specific paradigms of artificial intelligence domain. Having as starting point the indubitable advantages given by GANN (Genetic Algorithm Neural Nework) system concept in solving of some concrete pattern recognition tasks, in this paper a comparative view as performance level between two types of GAMLP (Genetic Algorithm MLP neural network) systems is described. Finally, using a real database belonging to high-resolution radar imagery, the obtained results confirm the great potential of the designed GAMLP systems to be integrated inside of real pattern recognition applications.
ISBN:1457700573
9781457700576
DOI:10.1109/ICComm.2012.6262578