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QSAR modelling using combined simple competitive learning networks and RBF neural networks.

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第一作者： R,Sheikhpour

第一单位： a Department of Computer Engineering , Yazd University , Yazd , Iran.

作者： R,Sheikhpour ^[1] ; M A,Sarram ^[1] ; M,Rezaeian ^[1] ; E,Sheikhpour ^[2]

作者单位： a Department of Computer Engineering , Yazd University , Yazd , Iran. ^[1] b Hematology and Oncology Research Center , Shahid Sadoughi University of Medical Sciences , Yazd , Iran. ^[2]

关键词 QSAR neural networks radial basis function neural networks simple competitive leaning unsupervised neural networks

医学主题词模型, 分子(Models, Molecular);酚类(Phenols);蛋白激酶抑制剂(Protein Kinase Inhibitors);量化构效关系(Quantitative Structure-Activity Relationship);rho相关激酶类(rho-Associated Kinases)

DOI 10.1080/1062936X.2018.1424030

PMID 29372662

发布时间 2019-12-10

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SAR and QSAR in environmental research

2018年29卷4期

257-276页

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SAR and QSAR in environmental research

2018年29卷4期

257-276页

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QSAR modelling using combined simple competitive learning networks and RBF neural networks.

SAR and QSAR in environmental research

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QSAR modelling using combined simple competitive learning networks and RBF neural networks.

SAR and QSAR in environmental research

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SAR and QSAR in environmental research

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