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2篇 您的检索式：作者名="GHANI A. AB"

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		题名	作者	年代	出处	被引量
	1	GENETIC PROGRAMMING TO PREDICT SKI-JUMP BUCKET SPILLWAY SCOUR显示文摘Researchers in the past had noticed that application of Artificial Neural Networks (ANN) in place of conventional statistics on the basis of data mining techniques predicts more accurate results in hydraulic predictions. Mostly these works pertained to applications of ANN. Recently, another tool of soft computing, namely, Genetic Programming (GP) has caught the attention of researchers in civil engineering computing. This article examines the usefulness of the GP based approach to predict the relative scour depth downstream of a common type of ski-jump bucket spillway. Actual field measurements were used to develop the GP model. The GP based estimations were found to be equally and more accurate than the ANN based ones, especially, when the underlying cause-effect relationship became more uncertain to model.	AZAMATHULLA H. MD GHANI A. AB ZAKARIA N. A LAI S. H CHANG C. K LEOW C. S ABUHASAN Z	2008	Journal of Hydrodynamics2008，20，4：	4
	2	Adsorption behaviour of Fe(II) and Fe(III) ions in aqueous solution on chitosan and cross-linked chitosan beads显示文摘	W.S.Wan Ngah S. Ab Ghani A. Kamari	2004	Bioresource Technology2004，，4：	1

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