128
Views
9
CrossRef citations to date
0
Altmetric
Section A

A new genetic feature selection with neural network ensemble

, &
Pages 1105-1117 | Received 19 Mar 2007, Accepted 02 Oct 2007, Published online: 17 Jun 2009

References

  • Bruzzone , L. , Prieto , D. F. and Serpico , S. B. 1999 . A neural-statistical approach to multitemporal and multisource remote-sensing image classification . IEEE Trans. Geosci. , 37 : 1350 – 1359 . Remote Sensing
  • Cherkauer , K. Human expert level performance on a scientific image analysis task by a system using combined artificial neural networks . Proceedings of Workshop on Integrating Multiple Learned Models for Improving and Scaling Machine Learning Algorithms . pp. 15 – 21 .
  • Coley , D. 1999 . An Introduction to Genetic Algorithms for Scientists and Engineers . World Scientific ,
  • Davis , L. 1991 . Handbook of Genetic Algorithms . Van Nostrand Reinhold ,
  • Dong , G. and Xie , M. 2005 . Color clustering and learning for image segmentation based on neural networks . IEEE Trans. Neural Networks , 16 : 925 – 936 .
  • Duda , R. , Hart , P. and Stork , D. 2001 . Pattern Classification . Addison Wesley ,
  • Golub , T. 1999 . Molecular classification of cancer: class discovery and class prediction by gene expression monitoring . Science , 286 : 531 – 537 .
  • Hagan , M. T. , Demuth , H. B. and Beale , H. 1995 . “ Neural Network Design ” . USA : PWS publishing Company .
  • Hansen , L. , Liisberg , L. and Salamon , P. Ensemble methods for handwritten digit recognition . Proceedings of IEEE Workshop on Neural Networks for Signal Processing . pp. 333 – 342 .
  • Hansen , L. and Salamon , P. 1992 . Neural network ensembles . IEEE Trans. Pattern Anal. Mach. Intell. , 12 : 333 – 342 .
  • Hong , J. and Cho , S. 2006 . Efficient huge-scale feature selection with speciated genetic algorithm . Pattern Recognition Lett. , 27 : 143 – 150 .
  • Huang , F. , Zhou , Z. , Zhang , H. and Chen , T. Pose invariant face recognition . Proceedings of 4th IEEE International Conference. Automatic Face and Gesture Recognition . pp. 245 – 250 .
  • Hwang , J. PCA based vehicle detection for ACC . 8th International Conference on Electronics, Information, and Communication . pp. 98 – 101 .
  • Karayiannis , N. and Xiong , Y. 2006 . Training reformulated radial basis function neural networks capable of identifying uncertainty in data classification . IEEE Trans. Neural Networks , 17 : 1222 – 1234 .
  • Kim , K. and Cho , S. 2007 . Ensemble classifiers based on correlation analysis for DNA microarray classification . Appl. Softcomput. , 7 ( 1 ) : 398 – 410 .
  • Liu , B. , Cui , Q. , Jiang , T. and Ma , S. 2004 . A combinational feature selection and ensemble neural network method for classification of gene expression data . BMC Bioinform. , 5 ( 1 ) : 136 – 147 .
  • Liu , Y. and Yao , X. 1999 . Simultaneous training of negatively correlated neural networks in an ensemble . IEEE Trans. Syst. Man Cybern. , 29 ( 6 ) : 716 – 725 .
  • Lossos , L. 2000 . Ongoing immunoglobulin somatic mutation in germinal center B cell-like but not in activated B cell-like diffuse large cell lymphomas . Proc. Natl. Acad. Sci. , 97 : 10209 – 10213 .
  • Optiz , D. and Maclin , R. 1999 . Popular ensemble methods: an empirical study . J. Artif. Intell. Res. , 11 : 169 – 198 .
  • Shimshoni , Y. and Intrator , N. 1998 . Classification of seismic signals by integrating ensembles of neural networks . IEEE Trans. Signal Process. , 46 : 1194 – 1201 .
  • Siedlecki , W. and Sklansky , J. 1989 . A note on genetic algorithms for large-scale feature selection . Pattern Recognition Lett. , 10 : 335 – 347 .
  • Suen , C. Recognition of handwritten numerals based on the concept of multiple experts . Proceedings of International Workshop Frontiers Handwriting Recognition . pp. 131 – 144 .
  • Tan , H. 2002 . Prediction of central nervous system embryonal tumour outcome based on gene expression . Nature , 415 : 436 – 442 .
  • Tumar , K. and Ghosh , J. 1996 . Error correlation and error reduction in ensemble classifiers . Connection Sci. , 8 : 385 – 404 .
  • Zhou , Z. , Jiang , Y. , Yang , Y. and Chen , S. 2002 . Lung cancer cell identification based on artificial neural network ensembles . Artif. Intell. Med. , 24 : 25 – 36 .
  • Zhou , Z. , Wu , J. and Tang , W. 2002 . Ensembling neural networks: Many could be better than all . Artif. Intell. , 137 : 239 – 263 .

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.