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12篇 您的检索式：作者名="Azamathulla H"

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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	Direct solution for discharge in circular free overfall显示文摘	Ahmad Z Azamathulla H	2012	Journal of Hydrology2012，，：	1
	3	Comparison between lineargenetic programming and M5 tree models to predict flowdischarge in compound channels显示文摘	Zahiri A Azamathulla H M	2014	Neural Computing andApplications2014，24，2：	1
	4	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
	5	Determination of optimum relaxation coefficient using finite difference method for groundwater flow 显示文摘	F Salmasi H M Azamathulla	2013	Arabian Journal of Geosciences2013，8，：	1
	6	Gene expression programming for transverse mixing coefficient显示文摘	Azamathulla H M Ahmad Z	2012	Journal of Hydrology2012，，：	1
	7	Development of GEP-based functional relationship for sediment transport in tropical rivers显示文摘	Ghani A A Azamathulla H M	2014	Neural Comput&Applic2014，24，：	1
	8	Use of Gene-expression Programming to Estimate Manning ’ s Roughness Coefficient for High Gradient Streams 显示文摘	Azamathulla H M Jarrett R D	2013	Water Resources Management2013，27，3：	1
	9	Gene expression programming for prediction of scour depth downstream of sills显示文摘	AZAMATHULLA H M	2012	Journal of Hydrology2012，460，：	1
	10	Gene-expression programming for the development of a stage-discharge curve of the Pahang River显示文摘	AZAMATHULLA H M GHANI A A LEOW C S	2011	Water Resources Management2011，25，11：	1
	11	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
	12	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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