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
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.
|Keyword:||Rangkaian neural, perambatan-balik, Rawak Nguyen-Widrow, pengecaman corak|
|Faculty or Institute:||Faculty of Computer Science and Information Technology|
|Publisher:||Universiti Putra Malaysia Press|
|Deposited By:||Nur Izzati Mohd Zaki|
|Deposited On:||30 Nov 2009 00:49|
|Last Modified:||27 May 2013 07:09|
Repository Staff Only: item control page
Document Download Statistics
This item has been downloaded for since 30 Nov 2009 00:49.