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Volumn 14, Issue 4, 2005, Pages 310-318

Revisiting squared-error and cross-entropy functions for training neural network classifiers

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EID: 27744480560     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-005-0467-y     Document Type: Article
Times cited : (217)

References (21)
  • 1
    • 27744514494 scopus 로고    scopus 로고
    • Optimisation of Recurrent NN by GA with Variable Length Genotype
    • McKay B, Slaney J (eds) Springer, Berlin Heidelberg New York
    • Arotaritei D, Negoita Gh M (2002) Optimisation of Recurrent NN by GA with Variable Length Genotype. In: McKay B, Slaney J (eds) AI2002: advances in artificial intelligence. Springer, Berlin Heidelberg New York, pp 691-692
    • (2002) AI2002: Advances in Artificial Intelligence , pp. 691-692
    • Arotaritei, D.1    Negoita, Gh.M.2
  • 2
    • 0002099561 scopus 로고
    • Supervised learning of probability distributions by neural networks
    • Anderson D (ed) American Institute of Physics, New York
    • Baum EB, Wilczek F (1988) Supervised learning of probability distributions by neural networks. In: Anderson D (ed) Neural information processing systems. American Institute of Physics, New York, pp 52-61
    • (1988) Neural Information Processing Systems , pp. 52-61
    • Baum, E.B.1    Wilczek, F.2
  • 3
    • 0033272085 scopus 로고    scopus 로고
    • The effect of misclassification costs on neural network classifiers
    • Berardi VL, Zhang GQ (1999) The effect of misclassification costs on neural network classifiers. Decis Sci 30(3):659-682
    • (1999) Decis Sci , vol.30 , Issue.3 , pp. 659-682
    • Berardi, V.L.1    Zhang, G.Q.2
  • 5
    • 0001373629 scopus 로고
    • Links between Markov models and multilayer perceptrons
    • Toretzky DS (ed) Morgan Kaufmann, San Mateo
    • Bourlard H, Wellekens CJ (1989) Links between Markov models and multilayer perceptrons. In: Toretzky DS (ed) Advances in neural information processing systems, vol 1. Morgan Kaufmann, San Mateo, pp 502-510
    • (1989) Advances in Neural Information Processing Systems , vol.1 , pp. 502-510
    • Bourlard, H.1    Wellekens, C.J.2
  • 6
    • 0024861871 scopus 로고
    • Approximation by superpositions of a sigmoidal function
    • Cybenko G (1989) Approximation by superpositions of a sigmoidal function. Math Control Signals Syst 2:303-314
    • (1989) Math Control Signals Syst , vol.2 , pp. 303-314
    • Cybenko, G.1
  • 8
    • 85013610201 scopus 로고
    • A genetic-based method for learning the parameter of a fuzzy inference system
    • Kasabov N, Coghill G (eds) IEEE Computer Society, Los Alamitos
    • Fagarasan F, Negoita Gh M (1995) A genetic-based method for learning the parameter of a fuzzy inference system. In: Kasabov N, Coghill G (eds) Artificial neural networks and expert systems. IEEE Computer Society, Los Alamitos, pp 223-226
    • (1995) Artificial Neural Networks and Expert Systems , pp. 223-226
    • Fagarasan, F.1    Negoita, Gh.M.2
  • 9
    • 0000783575 scopus 로고
    • The upstart algorithm: A method for constructing and training feedforward neural networks
    • Frean M (1990) The upstart algorithm: a method for constructing and training feedforward neural networks. Neural Comput 2(2):198-209
    • (1990) Neural Comput , vol.2 , Issue.2 , pp. 198-209
    • Frean, M.1
  • 10
    • 0011948879 scopus 로고
    • Connectionist architectures for multi-speaker phoneme recognition
    • Toretzky DS (ed) Morgan Kaufmann, San Mateo
    • Hampshire JB, Waibel A (1990) Connectionist architectures for multi-speaker phoneme recognition. In: Toretzky DS (ed) Advances in neural information processing systems, vol 2. Morgan Kaufmann, San Mateo, pp 203-210
    • (1990) Advances in Neural Information Processing Systems , vol.2 , pp. 203-210
    • Hampshire, J.B.1    Waibel, A.2
  • 11
    • 0025751820 scopus 로고
    • Approximation capabilities of multilayer feedforward networks
    • Hornik K (1991) Approximation capabilities of multilayer feedforward networks. Neural Netw 4:251-257
    • (1991) Neural Netw , vol.4 , pp. 251-257
    • Hornik, K.1
  • 12
    • 0002233827 scopus 로고    scopus 로고
    • Estimating posterior probabilities in classification problems with neural networks
    • Hung MS, Hu MY, Patuwo BE, Shanker M (1996) Estimating posterior probabilities in classification problems with neural networks. Int J Comput Intell Organ 1:49-60
    • (1996) Int J Comput Intell Organ , vol.1 , pp. 49-60
    • Hung, M.S.1    Hu, M.Y.2    Patuwo, B.E.3    Shanker, M.4
  • 13
    • 36149031331 scopus 로고
    • Learning in feedforward layered networks: The tiling algorithm
    • Mezard M, Nadal JP (1989) Learning in feedforward layered networks: the tiling algorithm. J Phys A 22:21921-2203
    • (1989) J Phys A , vol.22 , pp. 21921-22203
    • Mezard, M.1    Nadal, J.P.2
  • 15
    • 0001595997 scopus 로고
    • Neural network classifiers estimate Bayesian a-posteriori probabilities
    • Richard MD, Lippmann RP (1991) Neural network classifiers estimate Bayesian a-posteriori probabilities. Neural comput 3:461-483
    • (1991) Neural Comput , vol.3 , pp. 461-483
    • Richard, M.D.1    Lippmann, R.P.2
  • 17
    • 0022471098 scopus 로고
    • Learning representation by backpropagating errors
    • Rumelhart DE, Hinton GE, Williams RJ (1986b) Learning representation by backpropagating errors. Nat (Lond) 323:533-536
    • (1986) Nat (Lond) , vol.323 , pp. 533-536
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 18
    • 0025840875 scopus 로고
    • A note on least-squares learning procedures and classification by neural networks
    • Shoemaker PA (1991) A note on least-squares learning procedures and classification by neural networks. IEEE Trans Neural Netw 2(1):158-160
    • (1991) IEEE Trans Neural Netw , vol.2 , Issue.1 , pp. 158-160
    • Shoemaker, P.A.1
  • 19
    • 0025597157 scopus 로고
    • Neural network classification: A Bayesian interpretation
    • Wan EA (1990) Neural network classification: a Bayesian interpretation. IEEE Trans Neural Netw 1(4):303-375
    • (1990) IEEE Trans Neural Netw , vol.1 , Issue.4 , pp. 303-375
    • Wan, E.A.1
  • 20
    • 0000243355 scopus 로고
    • Learning in artificial neural networks: A statistical perspective
    • White H (1989) Learning in artificial neural networks: a statistical perspective. Neural Comput 1:425-464
    • (1989) Neural Comput , vol.1 , pp. 425-464
    • White, H.1
  • 21
    • 0025635525 scopus 로고
    • Connectionists nonparametric regression: Multilayer feedforward networks can learn arbitrary mappings
    • White H (1990) Connectionists nonparametric regression: multilayer feedforward networks can learn arbitrary mappings. Neural Netw 3:535-549
    • (1990) Neural Netw , vol.3 , pp. 535-549
    • White, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.