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Parallel implementation on improved error signal of backpropagation algorithm


Citation

Mohd Aris, Teh Noranis and Sulaiman, Md. Nasir and Mohd Saman, Md. Yazid and Othman, Mohamed (2002) Parallel implementation on improved error signal of backpropagation algorithm. Malaysian Journal of Computer Science, 15 (2). pp. 1-16. ISSN 0127-9084

Abstract / Synopsis

Improved error signal of the backpropagation (BP) algorithm on single processors has shown a tremendous result compared to its counterpart [1]. Further study on the improved BP algorithm is carried out on many processors, which is implemented using the Sequent Symmetry SE30 machine. Data partitioning method, with columnwise block striped and batch mode weight updating strategy, is applied on the BP algorithms. Twenty-six patterns consisting of uppercase letters from ‘A’ to ‘Z’ are tested in terms of speed and recognition rates. The parallel version of the BP algorithm produces good speedup as the numbers of processors are increased and a 100% recognition rate for trained and untrained data is achieved.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Computer Science and Information Technology
Publisher: Faculty of Computer Science and Information Technology, University of Malaya
Keywords: Standard BP; Improved BP; Mean squared error (MSE); Speedup; Data partitioning; Columnwise block striped; Batch mode weight updating
Depositing User: Nabilah Mustapa
Date Deposited: 30 Dec 2016 10:52
Last Modified: 30 Dec 2016 10:52
URI: http://psasir.upm.edu.my/id/eprint/49478
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