Use of artificial neural networks in modeling associations of discriminant factors: towards an intelligent selective breast cancer screening

Toward an Optimal Approach for Variable

Toward an Optimal Approach for Variable Selection in Counter-Propagation Neural Networks: Modeling Protein-Tyrosine Kinase Inhibitory of Flavanoids Using Substituent Electronic Descriptors

✍ Bahram Hemmateenejad ; Ahmadreza Mehdipour; Omar Deeb; Mahmood Sanchooli; Ramin 📂 Article 📅 2011 🏛 Wiley (John Wiley & Sons) 🌐 English ⚖ 431 KB

## Abstract Counter propagation neural network (CPNN) is one of the attractive tools of classification in QSAR studies. A major obstacle in classification by CPNN is finding the best subset of variables. In this study, the performance of some different feature selection algorithms including F score