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Volumn 4, Issue 4, 1993, Pages 650-659

A Novel Multilayer Neural Networks Training Algorithm that Minimizes the Probability of Classification Error

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CONVERGENCE OF NUMERICAL METHODS; ERROR DETECTION; OPTIMIZATION; PATTERN RECOGNITION; PROBABILITY; STOCHASTIC CONTROL SYSTEMS; SYSTEM THEORY;

EID: 0027632250     PISSN: 10459227     EISSN: 19410093     Source Type: Journal    
DOI: 10.1109/72.238319     Document Type: Article
Times cited : (30)

References (14)
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    • E. Barnard and D. Casasent, “A comparison between criterion functions for linear classifiers, with an application to neural nets,” IEEE Trans. Syst., Man, Cybern., vol. 19, pp. 1030–1041, Sept./Oct. 1989.
    • (1989) IEEE Trans. Syst., Man, Cybern. , vol.19 , pp. 1030-1041
    • Barnard, E.1    Casasent, D.2
  • 2
    • 0017994571 scopus 로고
    • Learning algorithms for nonparametric solution to the minimum error classification problem
    • H. Do-Tu and M. Installe, “Learning algorithms for nonparametric solution to the minimum error classification problem,” IEEE Trans. vol. 648–659, 1979.
    • (1979) IEEE Trans , vol.648-659
    • Do-Tu, H.1    Installe, M.2
  • 4
    • 0023331258 scopus 로고
    • An introduction to computing with neural nets
    • Apr.
    • R. P. Lippman, “An introduction to computing with neural nets,” IEEE ASSP Mag., 4–22, Apr. 1987.
    • (1987) IEEE ASSP Mag. , pp. 4-22
    • Lippman, R.P.1
  • 7
    • 0025594560 scopus 로고
    • On the stochastic approximation based learning algorithm for neural networks
    • Jan. San Diego, CA Jan
    • V. Nedeljković and M. Milosavljević, “On the stochastic approximation based learning algorithm for neural networks,” in Proc. IEEE Int. Conf. on Inf. Th., San Diego, CA, Jan. 1990.
    • (1990) Proc. IEEE Int. Conf. on Inf. Th.
    • Nedeljkovi, V.1    Milosavljevi, M.2
  • 9
    • 84941446558 scopus 로고
    • New York: McGraw-Hill
    • N. Nilsson, Machines. New York: McGraw-Hill, 1965.
    • (1965) Machines
    • Nilsson, N.1
  • 10
    • 0025670892 scopus 로고
    • The multilayer perceptron as an approximation to a Bayes optimal discriminant function
    • Dec.
    • D. W. Ruck, S. K. Rogers, M. Kabrisky, M. E. Oxley, and B. W. Suter, “The multilayer perceptron as an approximation to a Bayes optimal discriminant function,” IEEE Trans. Neural Networks, vol. 1, pp. 296–298, Dec. 1990.
    • (1990) IEEE Trans. Neural Networks , vol.1 , pp. 296-298
    • Ruck, D.W.1    Rogers, S.K.2    Kabrisky, M.3    Oxley, M.E.4    Suter, B.W.5
  • 13
    • 0039553071 scopus 로고
    • Training of multilayer perceptrons by stochastic approximation
    • Englewood Cliffs, NJ: Prentice-Hall
    • S. Stanković and M. Milosavljević, “Training of multilayer perceptrons by stochastic approximation,” in Neural Networks, Concepts, Applications and Implementations, V. Milutinović and P. Antognelli, Eds. Englewood Cliffs, NJ: Prentice-Hall, 1991, vol. IV, pp. 201–239.
    • (1991) Neural Networks, Concepts, Applications and Implementations , vol.5 , pp. 201-239
    • Stankovi, S.1    Milosavljevi, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.