Optimization of vehicle classification model using genetic algorithm

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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Bibliographic Details
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
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Summary: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.

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