A neuro-fuzzy approach for feature selection

Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS

Volumn 2, Issue , 2001, Pages 1003-1008

  Benitez J M ^a   Castro, J L ^a   Mantas, C J ^a   Rojas, F ^a  

^a UNIVERSITY OF GRANADA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA STRUCTURES; LEARNING SYSTEMS; MULTILAYER NEURAL NETWORKS; OPTIMIZATION; PATTERN RECOGNITION;

FEATURE SELECTION; NEURO-FUZZY APPROACH;

FUZZY SETS;

EID: 0035792410     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. J. Benítez, J. Castro, and C. Mantas. A pruning algorithm for multilayered perceptrons. In Proc. of X Conference of Spanish Association for Fuzzy Logic and Technology (ESTYLF'00), pages 91-96, Seville, Spain, September 2000.
2. J. Benítez, J. Castro, and I. Requena. Are artificial neural networks black boxes? IEEE Trans. Neural Networks, 8(5):1156-1164, September 1997.
3. A. Blum and P. Langley. Selection of relevant features and examples in machine learning. Artificial Intelligence, 97:245-271, 1997.
4. G. Castellano and A. Fanelli. Variable selection using neural-networks models. Neurocomputing, 31:1-13, 2000.
5. M. Dash and H. Liu. Feature selection for classification. Intelligent Data Analysis, 1(3), 1997.
6. R. De and N. P. S. Pal. Feature analysis: Neural network and fuzzy set theoretic approaches. Pattern Recognition, 30(10):1579-1590, 1997.