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). |
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