Support vector machine based training of multilayer feedforward neural networks as optimized by particle swarm algorithm application in QSAR studies of bioactivity of organic compounds

Support vector machine based training of multilayer feedforward neural networks as optimized by particle swarm algorithm : application in QSAR studies of bioactivity of organic compounds

Multilayer feedforward neural networks (MLFNNs) are important modeling techniques widely used in QSAR studies for their ability to represent nonlinear relationships between descriptors and activity. However, the problems of overfitting and premature convergence to local optima still pose great chall...

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Bibliographische Detailangaben
Veröffentlicht in:Journal of computational chemistry. - 1984. - 28(2007), 2 vom: 30. Jan., Seite 519-27
1. Verfasser: Lin, Wei-Qi (VerfasserIn)
Weitere Verfasser: Jiang, Jian-Hui, Zhou, Yan-Ping, Wu, Hai-Long, Shen, Guo-Li, Yu, Ru-Qin
Format: Aufsatz
Sprache:English
Veröffentlicht: 2007
Zugriff auf das übergeordnete Werk:Journal of computational chemistry
Schlagworte:Journal Article Research Support, Non-U.S. Gov't Cyclooxygenase 2 Inhibitors Imidazoles