12048802

Source:http://linkedlifedata.com/resource/pubmed/id/12048802

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0002045, umls-concept:C0549193, umls-concept:C0679712, umls-concept:C1707455, umls-concept:C2698650
pubmed:issue	2
pubmed:dateCreated	2002-6-6
pubmed:abstractText	Parameters identification is achieved through the minimization of objective function based on model outputs and the observed data. Because of ever increasing complexity of environmental-models, there are significant difficulty for conventional optimal methods to present a global optimization. On the contrast, however, direct optimization algorithms are widely developed in recent years due to increasing computer efficiency and show promising applications. Four direct optimal algorithms, i.e. CRS algorithm, SCE UA algorithm, SA algorithm and Annealing-Simplex algorithm, were thus selected in this paper to compare their performances via case studies.
pubmed:language	chi
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/8405344
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Mar
pubmed:issn	0250-3301
pubmed:author	pubmed-author:ChenJiningJ, pubmed-author:DuPengfeiP, pubmed-author:LiuYiY
pubmed:issnType	Print
pubmed:volume	23
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	1-6
pubmed:dateRevised	2006-11-15
pubmed:meshHeading	pubmed-meshheading:12048802-Algorithms, pubmed-meshheading:12048802-Environment
pubmed:year	2002
pubmed:articleTitle	[Comparison of parameter optimization algorithms for environmental model].
pubmed:affiliation	Environmental Simulation and Pollution Control State Key Joint Laboratory, Department of Environmental Science and Engineering, Tsinghua University, Beijing 100084.
pubmed:publicationType	Journal Article, Comparative Study, English Abstract, Research Support, Non-U.S. Gov't