16526491

Source:http://linkedlifedata.com/resource/pubmed/id/16526491

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0002045, umls-concept:C0870071, umls-concept:C2603343, umls-concept:C2698650
pubmed:issue	1
pubmed:dateCreated	2006-3-10
pubmed:abstractText	Target's spectral emissivity changes variously, and how to obtain target's continuous spectral emissivity is a difficult problem to be well solved nowadays. In this letter, an activation-function-tunable neural network is established, and a multistep searching method which can be used to train the model is proposed. The proposed method can effectively calculate the object's continuous spectral emissivity from the multispectral radiation information. It is a universal method, which can be used to realize on-line emissivity demarcation.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/101211035
pubmed:status	PubMed-not-MEDLINE
pubmed:month	Jan
pubmed:issn	1045-9227
pubmed:author	pubmed-author:YangChunlingC, pubmed-author:YuYongY, pubmed-author:ZhaoDongyangD, pubmed-author:ZhaoGuoliangG
pubmed:issnType	Print
pubmed:volume	17
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	238-42
pubmed:year	2006
pubmed:articleTitle	Study on modeling of multispectral emissivity and optimization algorithm.
pubmed:publicationType	Letter