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4篇 您的检索式：作者名="H Md Azamathulla"

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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	Gene expression programming for sediment transport in sewer pipe systems显示文摘	Aminuddin Ab Ghani H Md Azamathulla M ASCE	2010	Pipeline Systems Engineering and Practice2010，12，：	1
	3	Flow Simulation For Lake Harapan Using CCHE2D-A Case Study显示文摘	Hasan Z A Kah H L Azamathulla H Md		0，，：	1
	4	An expert system for predicting manning' s roughness coefficient in open channels by using gene expression programming 显示文摘	Azamathulla H Md Ahmad Z Ab Ghani Aminuddin	2013	Neural Com- put & Applic2013，23，5：	1

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