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50篇 您的检索式：作者名="Siew K L"

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	题名	作者	年代	出处	被引量
1	Inflammatory bowel disease in Asia: A systematic review显示文摘	Lani Prideaux Michael A Kamm Peter P De Cruz Francis K L Chan Siew C Ng	2012	Journal of Gastroenterology and Hepatology2012，，8：	5
2	Monoclonal antibodies useful in sensitive immunoassays for aldicarb in either laboratory or the field显示文摘	Siew L K Winger J A	2003	International Journal of Environmental Analytical Chemistry2003，83，5：	1
3	Extreme learning machine: theory and applications 显示文摘	HUANG G B CHEN L SIEW C K	2006	Neurocomputing2006，，70：	1
4	Enhanced random search based incremental extreme learning machine显示文摘	HUANG G B CHEN L SIEW C K	2008	Neurocomputing2008，71，18：	1
5	TAG composition and solid fat content of palm oil, sunflower oil, and palm kernel olein blends before and after chemical interesterification 显示文摘	NOORLIDA H M D SUNDRAM K SIEW W L	2002	J Am Oil Chem Soc2002，79，：	1
6	Towards understanding of physiological changes in cell culture of recalcitrant woody plant,Eurycoma longifolia, in response to carbon and nitrogen sources显示文摘	Francis C P Anna P K Siew L H	2011	Journal of Medicinal Plants Research2011，5，14：	1
7	Universal approximation using incremental constructive feedforward networks with random hidden nodes显示文摘	Huang G B Chen L Siew C K	2006	Neural Networks IEEE Transactions on2006，17，4：	1
8	Universal Approxima- tion Using Incremental Constructive Feedforward Net- works with Random Hidden Nodes 显示文摘	Huang G B Chen L Siew C K	2006	IEEE Transac- tions on Neural Networks2006，17，4：	1
9	Universal approximation using incremental constructive feedforward networks with random hidden nodes显示文摘	Huang G B Chen L Siew C K	2006	IEEE Transactions on Neural Networks2006，17，4：	1
10	Universal approximation using incremental constructive feedforward networks with random hidden nodes显示文摘	HUANG G B CHEN L SIEW C K	2006	IEEE Trans Neural Networks2006，17，4：	1
11	Universal Approximation Using Incremental Constructive Feedforward Networks with Random Hidden Nodes显示文摘	Huang G B Chen L Siew C K	2006	IEEE Transactions on Neural Networks2006，17，4：	1
12	Universal approxi- mation using incremental constructive feedforward net- works with random hidden nodes 显示文摘	HUANG G B CHEN L Siew C K	2006	IEEE Transactions on Neural Networks2006，17，4：	1
13	Universal approximation using incremental constructive feedforward networks with random bidden nodes 显示文摘	HUANG G B CHEN L SIEW C K	2006	IEEE Transactions on Neural Networks2006，17，4：	1
14	Universal Approximation Using Incremental Constructive Feedforward Networks with Random Hid- den Nodes显示文摘	Huang G B Chen L Siew C K	2006	IEEE Transactions on Neural Networks2006，17，1：	1
15	Universal Ap- proximation Using Incremental Constructive Feed- forward Networks with Random Hidden Nodes 显示文摘	Huang G B Chen L Siew C K	2006	IEEE Transaction on Neural Networks2006，17，4：	1
16	Universal approximation using incremental constructive feedforward networks with random hidden nodes显示文摘	HUANG G B CHEN L SIEW C K	2006	IEEE Transations on Neural Networks2006，17，4：	1
17	Universal approximation using in- cremental constructive feed forward networks with random hidden nodes显示文摘	G B Huang L Chen C K Siew	2006	IEEE Transactions on Neural Networks2006，17，4：	1
18	Universal ApproximationUsing Incremental Constructive Feedforward NetworksWith Random Hidden Nodes 显示文摘	G B Huang L Chen C K Siew	2006	IEEE TransactionsNeural Networks (SI045-9227)2006，17，4：	1
19	Active resource allocation for active reliable multicast显示文摘	G Feng C K Siew K L Yeung	2003	lEE Proc-Commun2003，150，2：	1
20	Universal approximation using incremental constructive feedforward networks with random hidden nodes显示文摘	Huang G B Chen L Siew C K	2006	IEEE Trans on Neural Networks2006，17，4：	1

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