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Volumn 17, Issue 3-4, 1997, Pages 195-216

MLP iterative construction algorithm

Author keywords

Construction; Hidden node pruning; Ho Kashyap method; Multi layered perceptron; Neural network training

Indexed keywords

ALGORITHMS; BACKPROPAGATION; COMPUTER ARCHITECTURE; ITERATIVE METHODS; PROBLEM SOLVING;

EID: 0031282102     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(97)00054-4     Document Type: Article
Times cited : (33)

References (20)
  • 1
    • 0001632845 scopus 로고
    • On the capabilities of multilayer preceptrons
    • E.B. Baum, On the capabilities of multilayer preceptrons, J. Complexity 4 (1988) 193-215.
    • (1988) J. Complexity , vol.4 , pp. 193-215
    • Baum, E.B.1
  • 2
    • 0001160588 scopus 로고
    • What size net gives valid generalization
    • E.B. Baum, What size net gives valid generalization, Neural Computation 1 (1989) 151-160.
    • (1989) Neural Computation , vol.1 , pp. 151-160
    • Baum, E.B.1
  • 3
    • 0001160588 scopus 로고
    • What size net gives valid generalization
    • E.B. Baum, D. Haussler, What size net gives valid generalization, Neural Comput. 1 (1) (1989) 151-160.
    • (1989) Neural Comput. , vol.1 , Issue.1 , pp. 151-160
    • Baum, E.B.1    Haussler, D.2
  • 4
    • 0028390208 scopus 로고
    • A constructive algorithm that converges for real-valued input patterns
    • N. Burgess, A constructive algorithm that converges for real-valued input patterns, J. Neural Systems 5 (1) (1994) 59-66.
    • (1994) J. Neural Systems , vol.5 , Issue.1 , pp. 59-66
    • Burgess, N.1
  • 5
    • 84918441630 scopus 로고
    • Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition
    • Cover, M. Thomas, Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition, IEEE Trans. Electronic Comput. 22 (3) (1965) 326-334.
    • (1965) IEEE Trans. Electronic Comput. , vol.22 , Issue.3 , pp. 326-334
    • Cover, M.T.1
  • 6
    • 0024861871 scopus 로고
    • Approximation by superposition of sigmoidal functions
    • G. Cybenko, Approximation by superposition of sigmoidal functions, Math. Control Signals Systems 2 (1989) 303-314.
    • (1989) Math. Control Signals Systems , vol.2 , pp. 303-314
    • Cybenko, G.1
  • 8
    • 0000155950 scopus 로고
    • The cascade-correlation learning architecture
    • D.S. Touretzky (Eds.), San Mateo, Morgan Kaufmann, CA
    • S.E. Fahlman, L. Christian, The cascade-correlation learning architecture, in: D.S. Touretzky (Eds.), Advances in Neural Information Processing Systems, vol. 2, San Mateo, Morgan Kaufmann, CA, 1990, pp. 524-532.
    • (1990) Advances in Neural Information Processing Systems , vol.2 , pp. 524-532
    • Fahlman, S.E.1    Christian, L.2
  • 9
    • 0001815795 scopus 로고
    • Neural networks and pattern recognition
    • J.M. Zurada, et al. (Eds.), Chap. 4, IEEE Press, New York
    • A.K. Jain, M. Jianchang, Neural networks and pattern recognition, in: J.M. Zurada, et al. (Eds.), Computational Intelligence Imitating Life, Chap. 4, IEEE Press, New York, 1994, pp. 194-212.
    • (1994) Computational Intelligence Imitating Life , pp. 194-212
    • Jain, A.K.1    Jianchang, M.2
  • 12
    • 0027662338 scopus 로고
    • Pruning algorithms - A survey
    • R. Reed, Pruning algorithms - a survey, Neural Networks 4 (5) (1993) 740-747.
    • (1993) Neural Networks , vol.4 , Issue.5 , pp. 740-747
    • Reed, R.1
  • 13
    • 0029000115 scopus 로고
    • An algorithm to generate radial basis functions (RBF)-like nets for classification problems
    • A. Roy, et al., An algorithm to generate radial basis functions (RBF)-like nets for classification problems, Neural Networks 8 (2) (1995) 179-201.
    • (1995) Neural Networks , vol.8 , Issue.2 , pp. 179-201
    • Roy, A.1
  • 15
    • 0002429329 scopus 로고
    • Feature selection using a multilayer perceptron
    • Fall
    • D.W. Ruck, R. Steven, Feature selection using a multilayer perceptron, J. Neural Network Comput. (Fall 1990) 40-48.
    • (1990) J. Neural Network Comput. , pp. 40-48
    • Ruck, D.W.1    Steven, R.2
  • 16
    • 0343295539 scopus 로고
    • Sigmoids distinguish more efficiently than heaviside
    • E.D. Sontag, Sigmoids distinguish more efficiently than heaviside, Neural Comput. 1 (1989) 470-472.
    • (1989) Neural Comput. , vol.1 , pp. 470-472
    • Sontag, E.D.1
  • 17
    • 0026904597 scopus 로고
    • Feedforward nets for interpolation and classification
    • E.D. Sontag, Feedforward nets for interpolation and classification, J. Comput. Systems Sci. 45 (1992) 20-48.
    • (1992) J. Comput. Systems Sci. , vol.45 , pp. 20-48
    • Sontag, E.D.1
  • 20
    • 0343295537 scopus 로고    scopus 로고
    • M-TILING - A constructive neural network learning algorithm for multi-category pattern classification
    • INNS Press, San Diego, CA
    • J. Yang et al., M-TILING - A constructive neural network learning algorithm for multi-category pattern classification, In: Proc. World Congress on Neural Networks, vol. 961, INNS Press, San Diego, CA, 1996, pp. 182-187.
    • (1996) Proc. World Congress on Neural Networks , vol.961 , pp. 182-187
    • Yang, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.