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	Hybrid Genetic Algorithm and Support Vector Regression in Cooling Load Prediction (CPCI-S收录)
	Li Xuemei[1,2]; Ding Lixing[2]; Li Yan[2]; Xu Gang[3]; Li Jibin[4]
会议名称	THIRD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING: WKDD 2010, PROCEEDINGS
关键词	Support vector regression Genetic algorithms parameter optimization hourly cooling load
URL标识	查看原文
内容类型	会议论文
URI标识	http://www.corc.org.cn/handle/1471x/2063914
专题	华南理工大学
作者单位	1.[1]South China Univ Technol, Sch Mech & Automot Engn, Guangzhou 510640, Guangdong, Peoples R China 2.[2]Zhongkai Univ Agr & Engn, Sch Mech & Elect Engn, Guangzhou 510225, Peoples R China 3.[3]Shenzhen Univ, Sch Mechatron & Ctrl Engn, Shenzhen 518060, Peoples R China 4.[4]Shenzhen Univ, Shenzhen Key Lab Mould Adv Mfg, Shenzhen 518060, Peoples R China
推荐引用方式 GB/T 7714	Li Xuemei[1,2],Ding Lixing[2],Li Yan[2],等. Hybrid Genetic Algorithm and Support Vector Regression in Cooling Load Prediction (CPCI-S收录)[C]. 见:THIRD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING: WKDD 2010, PROCEEDINGS.

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