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Liu, Zhibin, Li, Qian (2012) A Parameter Self-Adjusting Optimization Model to Simulate and Forecast Short-Term Wind Speed Based on Least Square Support Vector Machine Regression Algorithm and Parameter Cross Validation Method. Advanced Science Letters, 6 (1). 415-419 doi:10.1166/asl.2012.2262

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Reference TypeJournal (article/letter/editorial)
TitleA Parameter Self-Adjusting Optimization Model to Simulate and Forecast Short-Term Wind Speed Based on Least Square Support Vector Machine Regression Algorithm and Parameter Cross Validation Method
JournalAdvanced Science Letters
AuthorsLiu, ZhibinAuthor
Li, QianAuthor
Year2012 (March 15)Volume6
Issue1
PublisherAmerican Scientific Publishers
DOIdoi:10.1166/asl.2012.2262Search in ResearchGate
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Mindat Ref. ID9202009Long-form Identifiermindat:1:5:9202009:4
GUID0
Full ReferenceLiu, Zhibin, Li, Qian (2012) A Parameter Self-Adjusting Optimization Model to Simulate and Forecast Short-Term Wind Speed Based on Least Square Support Vector Machine Regression Algorithm and Parameter Cross Validation Method. Advanced Science Letters, 6 (1). 415-419 doi:10.1166/asl.2012.2262
Plain TextLiu, Zhibin, Li, Qian (2012) A Parameter Self-Adjusting Optimization Model to Simulate and Forecast Short-Term Wind Speed Based on Least Square Support Vector Machine Regression Algorithm and Parameter Cross Validation Method. Advanced Science Letters, 6 (1). 415-419 doi:10.1166/asl.2012.2262
In(2012, March) Advanced Science Letters Vol. 6 (1) American Scientific Publishers

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