Determining Optimal Architecture of CNN using Genetic Algorithm for Vehicle Classification System

Determining Optimal Architecture of CNN using Genetic Algorithm for Vehicle Classification System

Convolutional neural network is a machine learning that provides a good accura-cy for many problems in the field of computer vision, such as segmentation, de-tection, recognition, as well as classification systems. However, the results and performance of the system are affected by the CNN architectu...

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Bibliographic Details
Main Authors: Wahyono Wahyono, Joko Hariyono
Format: Article
Language:English
Published: Universitas Gadjah Mada 2019-01-01
Series:IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
Subjects:
convolutional neural network (CNN)
CNN architecture
evolutionary computing
genetic algorithm
classification system
vehicle type classification
Online Access:https://jurnal.ugm.ac.id/ijccs/article/view/42299

Internet

https://jurnal.ugm.ac.id/ijccs/article/view/42299

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