Prediction of Fungicidal Activities of Rice Blast Disease Based on Least-Squares Support Vector Machines and Project Pursuit Regression

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	Prediction of Fungicidal Activities of Rice Blast Disease Based on Least-Squares Support Vector Machines and Project Pursuit Regression
刊名	JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
	2008-11-26
卷号	56 期号:22
关键词	Quantitative structure-activity relationship (QSAR) fungicidal activity genetic algorithm (GA) projection pursuit regression (PPR) least-squares support vector machine (LS-SVM)
ISSN号	0021-8561
通讯作者	Hu, ZD (reprint author), Lanzhou Univ, Dept Chem, Lanzhou 730000, Peoples R China.
学科主题	Agriculture ; Chemistry ; Food Science & Technology
语种	英语
WOS记录号	WOS:000261056700052
内容类型	期刊论文
源URL	[http://202.201.7.4:8080/handle/262010/77363]
专题	化学化工学院_期刊论文
推荐引用方式 GB/T 7714	. Prediction of Fungicidal Activities of Rice Blast Disease Based on Least-Squares Support Vector Machines and Project Pursuit Regression[J]. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY,2008,56(22).
APA	(2008).Prediction of Fungicidal Activities of Rice Blast Disease Based on Least-Squares Support Vector Machines and Project Pursuit Regression.JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY,56(22).
MLA	"Prediction of Fungicidal Activities of Rice Blast Disease Based on Least-Squares Support Vector Machines and Project Pursuit Regression".JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 56.22(2008).