503
Views
87
CrossRef citations to date
0
Altmetric
Original Articles

The role of feature selection in artificial neural network applications

Pages 2919-2937 | Published online: 25 Nov 2010

  • AHA , D. W. and BANKERT , R. L. 1996 . “ A comparative evaluation of sequential feature selection algorithms ” . In Learning from Data: Artificial Intelligence and Statistics V , Edited by: Fisher , D. and Lenz , J.-H. 199 – 206 . New York : Springer Verlag .
  • BENEDIKTSSON , J. A. , SWAIN , P. H. and ERSOY , O. K. 1990 . Neural network approaches versus statistical methods in classification of multisource remote sensing data . IEEE Transactions on Geoscience and Remote Sensing , 28 : 540 – 551 .
  • DAVIS, L. 1987 . Genetic Algorithms and Simulated Annealing , London : Morgan Kaufmann .
  • DILLON , W. R. and GOLDSTEIN , M. 1984 . Multivariate Analysis: Methods and Applications , New York : John Wiley & Sons .
  • DUTRA , L. V. and HUBER , R. 1999 . Feature extraction and selection for ERS-I/2 InSAR classification . International Journal of Remote Sensing , 20 : 993 – 1016 .
  • FOODY , G. M. The effect of border training patterns on the accuracy of neural and statistical image classifications . Proceedings of the 24th Animal Conference and Exhibition of the Remote Sensing Society, The University of Greenwich . pp. 589 – 595 . Nottingham : The Remote Sensing and Photogrammetry Society .
  • FU , K. S. 1982 . “ Application of pattern recognition to remote sensing ” . In Applications of Pattern Recognition , Edited by: Fu , K. S. Boca Raton, Florida : CRC Press . Chapter 4
  • GOODENOUGH , D. G. , NARENDA , P. M. and O'NEILL , K. 1978 . Feature subset selection in remote sensing . Canadian Journal of Remote Sensing , 4 : 143 – 148 .
  • GRIMM , G. and YARNOLD , P. R. 1997 . Reading and Understanding Multivariate Statistics , Washington, DC : The American Psychological Association .
  • HIROSE , Y. , YAMASHITA , K. and HIJIYA , S. 1991 . Back-propagation algorithm which varies the number of hidden units . Neural Networks , 4 : 61 – 66 .
  • HOLLAND , J. H. 1992 . Genetic algorithms . Scientific American , 267 : 44 – 50 .
  • HSIEH , P.-F. and LANDGREBE , D. 1998 . Classification of high dimensional data. Technical Report: TR-ECE 98-4 , School of Electrical and Computer Engineering , West Lafayette, Indiana : Purdue University .
  • HUGHES , G. F. 1968 . On the mean accuracy of statistical pattern recognizers . IEEE Transactions on Information Theory , 14 : 55 – 63 .
  • JAIN , A. and ZONGKER , D. 1997 . Feature selection: evaluation, application and small sample performance . IEEE Transactions on Pattern Analysis and Machine Intelligence , 19 : 153 – 158 .
  • JENSEN , J. R. 1996 . Introductory Digital Image Processing: A Remote Sensing Perspective , London : Prentice Hall .
  • JIMENEZ , L. and LANDGREBE , D. 1998 . Supervised classification in high-dimensional space: geometrical, statistical and asymptotical properties of multivariate data . IEEE Transactions on Systems, Man and Cybernetics , 28 : 39 – 54 .
  • KAILATH , T. 1967 . The divergence and Bhattacharyya distance measures in signal selection . IEEE Transactions on Communications Technology , COM-15 : 52 – 60 .
  • KAVZOGLU , T. 2001 . An investigation of the design and use of feed-forward artificial neural networks in the classification of remotely sensed images , School of Geography. The University of Nottingham . PhD thesis
  • LERAY , P. and GALLINARI , P. 1998 . Feature selection with neural networks , LIP6 Research Reports Paris : University of Paris . http://www.lip6.fr/reports/lip6.1998.012.html.
  • MAN , K. F. , TANG , K. S. and KWONG , S. 1999 . Genetic Algorithms , London : Springer-Verlag .
  • MATHER , P. M. 1976 . Computational Methods of Multivariate Analysis in Physical Geography , New York : John Wiley .
  • MATHER , P. M. 1999 . Computer Processing of Remotely-Sensed Images: An Introduction, , 2nd edn , Chichester, , UK : John Wiley .
  • MAUSEL , P. W. , KRAMBER , W. J. and LEE , J. K. 1990 . Optimum band selection for supervised classification of multispectral data . Photogrammetric Engineering and Remote Sensing , 56 : 55 – 60 .
  • OVERALL , J. E. and KLETT , C. J. 1972 . Applied Multivariate Analysis , London : McGraw-Hill .
  • PUDIL , P. , NOVOVICOVA , J. and KITTLER , J. 1994 . Floating search methods in feature selection . Pattern Recognition Letters , 15 : 1119 – 1125 .
  • SCOTT , M. J. J. , NIRANJAN , M. and PRAGER , R. W. 1998 . Parcel: feature subset selection in variable cost domains , Technical Report: CUED/FINFENG/TR.323 Cambridge University Engineering Department . ftp://svr-ftp.eng.cam.ac.uk/pub/reports/ Scott_tr323.ps.gz.
  • SIEDLECKI , W. and SKLANSKY , J. 1988 . On automatic feature selection . International Journal of Pattern Recognition and Artificial Intelligence , 2 : 197 – 220 .
  • THOMAS , I. L. , BENNING , V. M. and CHING , N. P. 1987a . Classification of Remotely Sensed Images , London : Adam Hilger .
  • THOMAS , I. L. , CHING , N. P. , BENNING , V. M. and D'AGUANNO , J. A. 1987b . A review of multi-channel indices of class separability . International Journal of Remote Sensing , 8 : 331 – 350 .
  • Tso , B. and MATHER , P. M. 1999 . Crop discrimination using multi-temporal SAR imagery . International Journal of Remote Sensing , 20 : 2443 – 2460 .
  • ZONGKER , D. and JAIN , A. Algorithms for feature selection: an evaluation . Proceedings of 13th IEEE International Conference on Pattern Recognition (ICPR'96) . Vienna, Austria. pp. 18 – 22 . Piscataway, New Jersey : IEEE .

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.