Alwee, Razana and Sallehuddin, Roselina and Shamsuddin, Siti Mariyam (2004) Perbandingan penggunaan algoritma Krzyzak dengan algoritma rambatan balik piawai dalam domain peramalan. International Journal of Management Studies (IJMS), 11. pp. 171-183. ISSN 0127-8983

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Abstract

The purpose of this study is to compare the performance of neural network using Krzyzak algorithm and standard back propagation algorithm in forecasting domain. To implement this study a timber data set, which represents a non-seasonal time series data, is used. The performance is measured based on the accuracies, which is, quantified by root mean square error and learning speed for convergence. The results show that by using a small value of learning rate, Krzyzak algorithm is better than standard back propagation algorithm for medium and long term forecasting.

Item Type:	Article
Uncontrolled Keywords:	neural network, back propagation algorithm, Krzyzak Algorithm, forecasting, time series data
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Divisions:	UNSPECIFIED
Depositing User:	Mrs. Norazmilah Yaakub
Date Deposited:	19 Jul 2010 07:08
Last Modified:	07 Dec 2016 06:27
URI:	https://repo.uum.edu.my/id/eprint/272

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