IJPAM: Volume 117, No. 2 (2017)
Title
RESEARCH WORK OF BACKPROPAGATION ANDLEVENBERG-MARKARDT ALGORITHMS FOR
RECOGNITION ON BIOMETRICS DATA
Authors
Margarita Todorova, Mario Petrov, Spas TrenchevDepartment of Informatics
Faculty of Mathematics and Natural Science
South-West University "Neofit Rilski"
66, Ivan Mihailov Str., Blagoevgrad, 2700, BULGARIA
Department of Communication and Computer Engineering
Faculty of Engineering
South-West University "Neofit Rilski"
66, Ivan Mihailov Str., Blagoevgrad, 2700, BULGARIA
Abstract
In this work is presented a study of two algorithms for patterns recognition and classification to solving a specific application task. Three criteria are studied and compared: performance (execution time), the number of errors in classification and the influence of the selection and structuring of data.History
Received: 2017-06-14
Revised: 2017-11-15
Published: December 23, 2017
AMS Classification, Key Words
AMS Subject Classification: 62H30, 68T10
Key Words and Phrases: pattern recognition, classification, clustering, feature extraction, feature selection, error estimation, neural networks
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How to Cite?
DOI: 10.12732/ijpam.v117i2.8 How to cite this paper?Source: International Journal of Pure and Applied Mathematics
ISSN printed version: 1311-8080
ISSN on-line version: 1314-3395
Year: 2017
Volume: 117
Issue: 2
Pages: 345 - 354
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This work is licensed under the Creative Commons Attribution International License (CC BY).