Universiti Teknologi Malaysia Institutional Repository

Rice yield classification using backpropagation network

Jamaludin, Nor Khairah and Saad, Puteh and Rusli, Nursalasawati and Bakri, Aryati and Kamarudin, Siti Sakira (2004) Rice yield classification using backpropagation network. Journal of ICT, UUM, 3 (1). pp. 67-81. ISSN 2180-3862

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Official URL: http://repo.uum.edu.my/1043/1/P._Saad.pdf


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-propagationalgorithm,quickpropagation,conjugategradientdescent,levenberg-marquardt algorithmand riceyieldprediction
Subjects:T Technology > T Technology (General)
Divisions:Mechanical Engineering
ID Code:28180
Deposited By: Nurul Asilah Mahmood
Deposited On:18 Sep 2012 06:16
Last Modified:13 Mar 2017 08:49

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