%0 Journal Article
%T Using DEA-neural network approach to solve binary classification problems
%A Farhad Hosseinzadeh Lotfi
%A Gholam Reza Jahanshahloo
%A Shadi Givehchi
%A Mohsen Vaez-Ghasemi
%J Data Envelopment Analysis and Decision Science
%D 2013
%I International Scientific Publications and Consulting Services (ISPACS)
%R 10.5899/2013/dea-00002
%X In this paper we propose a new hybrid neural network include Data Envelopment Analysis (DEA) and Radial Basis Function Network (RBFN) for binary classification problem. In the supervised learning phase of neural network, the additive model is used to learn the classification function and Gaussian Radial Basis Function (GRBF) is used to the unsupervised learning phase of neural network. Compared with existing RBFN-DEA model for solving classification problems, the proposed model has low CPU time and moreover can be applied to solve classification problems with negative data.
%K "">Data Envelopment Analysis
%K Binary classification
%K Radial Basis Function
%K Linear rogramming problem"/>
%U http://www.ispacs.com/journals/dea/2013/dea-00002/article.pdf