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Rice yield prediction - a comparison between enhanced back propagation learning algorithms

Saad, Puteh and Jamaludin, Nor Khairah and Rusli, Nursalasawati and Bakri, Aryati and Kamarudin, Siti Sakira (2004) Rice yield prediction - a comparison between enhanced back propagation learning algorithms. Jurnal Teknologi Maklumat, 16 (1). pp. 27-34. ISSN 0128-3790

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Abstract

Back Propagation algorithm(BP} has been popularly used to solve various problems, however it is shrouded with the problems of low convergence and instability. In recent years, improvements have been attempted to overcome the discrepancies aforementioned. In this study, we examine the performance of four enhanced BP algorithms to predict rice yield in MADA plantation area in Kedah, Malaysia. Amidst the four algorithms explored, Conjugate Gradient Descent exhibits the best performance.

Item Type:Article
Uncontrolled Keywords:back-propagation algorithm, quick propagation, conjugate gradient descent, levenberg-marquardt algorithm rice yield prediction
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System (Formerly known)
ID Code:3410
Deposited By: Ms Haslina Hashim
Deposited On:23 May 2007 23:53
Last Modified:24 May 2012 06:43

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