Application of Optimal Control and Fuzzy Theory for Dynamic Groundwater Remediation Design

doi:10.1007/s11269-008-9293-1

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DC Field	Value	Language
dc.contributor.author	Chu, Hone-Jay	en_US
dc.contributor.author	Chang, Liang-Cheng	en_US
dc.date.accessioned	2014-12-08T15:09:54Z	-
dc.date.available	2014-12-08T15:09:54Z	-
dc.date.issued	2009-03-01	en_US
dc.identifier.issn	0920-4741	en_US
dc.identifier.uri	http://dx.doi.org/10.1007/s11269-008-9293-1	en_US
dc.identifier.uri	http://hdl.handle.net/11536/7564	-
dc.description.abstract	Obtaining optimal solutions for time-varying groundwater remediation design is a challenging task. A novel procedure first employs input/output data sets obtained by constrained differential dynamic programming (CDDP). Then the Adaptive-Network-Based Fuzzy Inference System (ANFIS), which is a fuzzy inference system (FIS) implemented in the adaptive network framework, is applied to acquire time-varying pumping rates. Results demonstrate that the FIS is an efficient way of groundwater remediation design.	en_US
dc.language.iso	en_US	en_US
dc.subject	CDDP	en_US
dc.subject	ANFIS	en_US
dc.subject	Remediation design	en_US
dc.subject	Ground water	en_US
dc.title	Application of Optimal Control and Fuzzy Theory for Dynamic Groundwater Remediation Design	en_US
dc.type	Article	en_US
dc.identifier.doi	10.1007/s11269-008-9293-1	en_US
dc.identifier.journal	WATER RESOURCES MANAGEMENT	en_US
dc.citation.volume	23	en_US
dc.citation.issue	4	en_US
dc.citation.spage	647	en_US
dc.citation.epage	660	en_US
dc.contributor.department	土木工程學系	zh_TW
dc.contributor.department	Department of Civil Engineering	en_US
dc.identifier.wosnumber	WOS:000263509900003	-
dc.citation.woscount	22	-
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