Optimization of vehicle classification model using genetic algorithm

This paper focuses on classifying vehicle types into car, van, motorcycle, bus, light truck, multi-axle truck and determine its class based on the Philippine Toll Regulatory Board's vehicle classification. This study utilized DEvol, an open-source tool that uses genetic algorithm for evolving n...

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Main Authors:	Cero, Cyril Dale L., Sybingco, Edwin, Brillantes, Allysa Kate M., Amon, Mari Christine E., Puno, John Carlo V., Billones, Robert Kerwin C., Dadios, Elmer P., Bandala, Argel A.
Format:	text
Published:	Animo Repository 2019
Subjects:	Vehicles—Classification Genetic algorithms Neural networks (Computer science) Electrical and Computer Engineering
Online Access:	https://animorepository.dlsu.edu.ph/faculty_research/3015
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Institution:	De La Salle University

id	oai:animorepository.dlsu.edu.ph:faculty_research-4014
record_format	eprints
spelling	oai:animorepository.dlsu.edu.ph:faculty_research-40142021-11-19T06:54:50Z Optimization of vehicle classification model using genetic algorithm Cero, Cyril Dale L. Sybingco, Edwin Brillantes, Allysa Kate M. Amon, Mari Christine E. Puno, John Carlo V. Billones, Robert Kerwin C. Dadios, Elmer P. Bandala, Argel A. This paper focuses on classifying vehicle types into car, van, motorcycle, bus, light truck, multi-axle truck and determine its class based on the Philippine Toll Regulatory Board's vehicle classification. This study utilized DEvol, an open-source tool that uses genetic algorithm for evolving number of filters and nodes, optimizer, activation, dropout rate. The model attained the best accuracy with 78.53% using 9000 images from MIO-TCD dataset. © 2019 IEEE. 2019-11-01T07:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/3015 Faculty Research Work Animo Repository Vehicles—Classification Genetic algorithms Neural networks (Computer science) Electrical and Computer Engineering
institution	De La Salle University
building	De La Salle University Library
continent	Asia
country	Philippines Philippines
content_provider	De La Salle University Library
collection	DLSU Institutional Repository
topic	Vehicles—Classification Genetic algorithms Neural networks (Computer science) Electrical and Computer Engineering
spellingShingle	Vehicles—Classification Genetic algorithms Neural networks (Computer science) Electrical and Computer Engineering Cero, Cyril Dale L. Sybingco, Edwin Brillantes, Allysa Kate M. Amon, Mari Christine E. Puno, John Carlo V. Billones, Robert Kerwin C. Dadios, Elmer P. Bandala, Argel A. Optimization of vehicle classification model using genetic algorithm
description	This paper focuses on classifying vehicle types into car, van, motorcycle, bus, light truck, multi-axle truck and determine its class based on the Philippine Toll Regulatory Board's vehicle classification. This study utilized DEvol, an open-source tool that uses genetic algorithm for evolving number of filters and nodes, optimizer, activation, dropout rate. The model attained the best accuracy with 78.53% using 9000 images from MIO-TCD dataset. © 2019 IEEE.
format	text
author	Cero, Cyril Dale L. Sybingco, Edwin Brillantes, Allysa Kate M. Amon, Mari Christine E. Puno, John Carlo V. Billones, Robert Kerwin C. Dadios, Elmer P. Bandala, Argel A.
author_facet	Cero, Cyril Dale L. Sybingco, Edwin Brillantes, Allysa Kate M. Amon, Mari Christine E. Puno, John Carlo V. Billones, Robert Kerwin C. Dadios, Elmer P. Bandala, Argel A.
author_sort	Cero, Cyril Dale L.
title	Optimization of vehicle classification model using genetic algorithm
title_short	Optimization of vehicle classification model using genetic algorithm
title_full	Optimization of vehicle classification model using genetic algorithm
title_fullStr	Optimization of vehicle classification model using genetic algorithm
title_full_unstemmed	Optimization of vehicle classification model using genetic algorithm
title_sort	optimization of vehicle classification model using genetic algorithm
publisher	Animo Repository
publishDate	2019
url	https://animorepository.dlsu.edu.ph/faculty_research/3015
_version_	1718383321295093760

Optimization of vehicle classification model using genetic algorithm

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