Attribute selection method based on a hybrid BPNN and PSO algorithms

Applied Soft Computing Journal

Volumn 12, Issue 8, 2012, Pages 2147-2155

  Jin, Cong ^a   Jin, Shu Wei ^b   Qin, Li Na ^a  

^a CENTRAL CHINA NORMAL UNIVERSITY   (China)

^b UNIVERSITÉ LYON 1   (France)

Author keywords

Attribute selection; Back Propagation Neural Network; Input output correlation; Particle Swarm Optimization; Reduction dimensionality

Indexed keywords

ATTRIBUTE IMPORTANCE; ATTRIBUTE RANKING; ATTRIBUTE SELECTION; BACK PROPAGATION NEURAL NETWORKS; HIGH DIMENSIONAL DATA; HIGH DIMENSIONAL SPACES; INPUT OUTPUT CORRELATIONS; PARTICLE SWARM OPTIMIZATION ALGORITHM; PSO ALGORITHMS; SELECTION METHODS;

ALGORITHMS; DATA MINING; NEURAL NETWORKS; PATTERN RECOGNITION;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84861841294     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2012.03.015     Document Type: Article

References (20)

1. D.W. Aha, and R.L. Bankert A Comparative Evaluation of Sequential Feature Selection Algorithms. Learning from Data: AI and Statistics V 1996 Springer Berlin
2. K. Choich Input feature selection for classification problem IEEE Transactions on Neural Networks 13 1 2002 143 159
3. A.P. Engelbrecht A new pruning heuristic based on variance analysis of sensitivity information IEEE Transactions on Neural Networks 12 6 2001 1386 1399
4. X.J. Fu, and L.P. Wang Rule extraction based on data dimensionality reduction using RBF neural networks 8th International Conference on Neural Information Processing 2001 149 153
5. J. Huang, Y. Cai, and X. Xu A hybrid genetic algorithm for feature selection wrapper based on mutual information Pattern Recognition Letters 28 7 2007 1825 1844 (Pubitemid 47058633)
6. M.L. Huang, Y.H. Hung, and W.Y. Chen Neural network classifier with entropy based feature selection on breast cancer diagnosis Journal of Medical System 34 5 2010 865 873
7. J. Kennedy, R.C. Eberhart, and Y. Shi Swarm Intelligence 2001 Morgan Kaufmann San Francisco
8. R. Kohavi, and G.H. John Wrappers for feature subset selection Artificial Intelligence 97 1-2 1997 273 324 (Pubitemid 127401107)
9. R.S. Kulkarni, G. Lugosi, and V.S. Santosh Learning pattern classification - a survey IEEE Transaction on Information Theory 44 6 1998 2178 2206
10. R.S. Kulkarni, and M. Vidyasagar Learning decision rules for pattern classification under a family of probability measures IEEE Transactions on Information Theory 43 1 1997 154 166 (Pubitemid 127826388)
11. H.M. Lee, C.M. Chen, and T.C. Huang Learning efficiency improvement of back-propagation algorithm by error saturation prevention method Neurocomputing 41 1-4 2001 125 143
12. C.H. Li, and S.C. Park Combination of modified BPNN algorithms and an efficient feature selection method for text categorization Information Processing & Management 45 3 2009 329 340
13. S.W. Lin, K.C. Ying, S.C. Chen, and Z.J. Lee Particle swarm optimization for parameter determination and feature selection of support vector machines Expert Systems with Applications 35 4 2008 1817 1824
14. S. Maldonado, and R. Weber A wrapper method for feature selection using support vector machines Information Sciences 179 13 2009 2208 2217
15. P.Y. Nie A filter method for solving nonlinear complementarity problems Applied Mathematics and Computation. 167 1 2005 677 694
16. B.D. Ripley, and N.L. Hjort Pattern Recognition and Neural Networks 1996 Cambridge University Press New York
17. R.K. Sivagaminathan, and S. Ramakrishnan A hybrid approach for feature subset selection using neural networks and ant colony optimization Expert Systems with Applications 33 1 2007 49 60 (Pubitemid 44959916)
18. S.D. Stearns On selecting feature for pattern classifiers 3rd International Conference on Pattern Recognition Coronado, CA 1976 71 75
19. J. Yang, and V. Honavar Feature subset selection using a genetic algorithm IEEE Intelligent Systems 13 2 1998 44 49
20. H. Zhang, and G. Sun Feature selection using tabu search method Pattern Recognition 35 3 2002 701 711