A Comparison of BPNN, RBF, and ENN in Number Plate Recognition

In this paper, we discuss a research project that related to autonomous recognition of Malaysia car plates using neural network approaches. This research aims to compare the proposed conventional Back propagation Feed Forward Neural Network (BPNN), Radial Basis Function Network (RBF), and Ensemble N...

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Bibliographic Details
Main Authors: Chin, Kim On, Teo, Kein Yao, Rayner Alfred, Ag Asri Ag Ibrahim, Wang, Cheng, Tan, Tse Guan
Format: Conference or Workshop Item
Language:English
English
Published: Springer 2016
Subjects:
Online Access:https://eprints.ums.edu.my/id/eprint/28932/1/A%20Comparison%20of%20BPNN%2C%20RBF%2C%20and%20ENN%20in%20Number%20Plate%20Recognition%20ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/28932/2/A%20Comparison%20of%20BPNN%2C%20RBF%2C%20and%20ENN%20in%20Number%20Plate%20Recognition%20FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/28932/
https://link.springer.com/chapter/10.1007/978-981-10-2777-2_4
https://doi.org/10.1063/1.4960933
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