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Analisis Pengawalan Pemberat Rangkaian Neural Perambatan Balik untuk Pengecaman Aksara Jawi


Citation

Mahmod, Ramlan and Omar, Khairuddin (2000) Analisis Pengawalan Pemberat Rangkaian Neural Perambatan Balik untuk Pengecaman Aksara Jawi. Pertanika Journal of Science & Technology, 8 (1). pp. 41-54. ISSN 0128-7680

Abstract / Synopsis

One of the factors that influences the recognition ability of a neural network is the initial values given to the weight vector during the training phase. The network may be trapped into a local minima if the initial weights are not chosen carefully. This paper presents an analysis of the ability of the network to recognise Jawi characters after it was trained using different methods of weight initialization. Three most common methods are zero, random and Nguyen-Widrow random. This paper presents the effect of these three methods on the ability of the network's recognition.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Computer Science and Information Technology
Publisher: Universiti Putra Malaysia Press
Keywords: Rangkaian neural, perambatan-balik, Rawak Nguyen-Widrow, pengecaman corak
Depositing User: Nur Izzati Mohd Zaki
Date Deposited: 30 Nov 2009 00:49
Last Modified: 27 May 2013 07:09
URI: http://psasir.upm.edu.my/id/eprint/3508
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