Wang L C, Der S Z, Nasrabadi N M. Automatic Target Recognition Using a Feature-Decomposition and Data-Decomposition Modular Neural Network. IEEE Trans on Image Processing, 1998, 7(8): 1113-1121
[2]
Viola P, Jones M. Rapid Object Detection Using a Boosted Cascade of Simple Features // Proc of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Kauai, USA, 2001, Ⅰ: 511-518
[3]
Dash M, Liu H. Feature Selection for Classification. Intelligent Data Analysis, 1997, 1(3): 131-156
[4]
Reed R. Pruning Algorithms-A Survey. IEEE Trans on Neural Networks, 1993, 4(5): 740-747
[5]
Verikas A, Bacauskiene M. Feature Selection with Neural Networks. Pattern Recognition Letters, 2002, 23(11): 1323-1335
[6]
Ruck D W, Rogers S K, Kabrisky M. Feature Selection Using a Multilayer Perceptron. Journal of Neural Network Computing, 1990, 2(1): 40-48
[7]
Mao J C, Mohiuddin K, Jain A K. Parsimonious Network Design and Feature Selection through Node Prunning // Proc of the 12th IAPR International Conference on Pattern Recognition. Jerusalem, Israel, 1994, Ⅱ: 622-624
[8]
Jia Pei, Sang Nong. Feature Selection Using a Radial Basis Function Networks and Fuzzy Set Theoretic Measures // Proc of the 3th Symposium on Multispectral Image Processing and Pattern Recognition. Beijing, China, 2003:109-114
[9]
De R K, Pal N R, Pal S K. Feature Analysis: Neural Network and Fuzzy Set Theoretic Approaches. Pattern Recognition, 1997, 30(10): 1579-1590
[10]
Duda R O, Hart P E, Stork D G. Pattern Classification. New York, USA: Wiley & Son, 1998
[11]
Rezaee M R, Goedhart B, Lelieveldt B P F, et al. Fuzzy Feature Selection. Pattern Recognition, 1999, 32(3): 2011-2019
[12]
Sun C T, Jang J S. A Neuro-Fuzzy Classifier and Its Applications// Proc of the 2nd IEEE International Conference on Fuzzy Systems. San Francisco, USA, 1993, Ⅰ: 94-98
[13]
Chakraborty D, Pal N R. A Neuro-Fuzzy Scheme for Simultaneous Feature Selection and Fuzzy Rule-Based Classification. IEEE Trans on Neural Networks, 2004, 15(1): 110-123
[14]
Kim I I, Lee J H, Bang E O. A New Approach to Adaptive Membership Function for Fuzzy Inference System // Proc of the 3rd International Conference on Knowledge-Based Intelligent Infomation Engineering Systems. Adelaide, Australia, 1999: 112-116
[15]
Anderson E. The Irises of the Gaspe Peninsula. Bulletin of the American Iris Society, 1935, 59: 2-5
[16]
Belue L M, Bauer K W. Determining Input Feature for Multilayer Perceptrons. Neurocomputing, 1995, 7(2): 111-121
[17]
Guyon I. Design of Experiments for the NIPS 2003 Variable Selection Benchmark [EB/OL]. [2003-07-01]. http://www.clopinet.com/isabelle/Projects/NIPS2003/Slides/NIPS2003-Datasets. pdf
[18]
Foley D H. Consideration of Sample and Feature Size. IEEE Trans on Information Theory, 1972, 18(5): 618-626