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Volumn 5517 LNCS, Issue PART 1, 2009, Pages 157-164

A supervised learning method for neural networks based on sensitivity analysis with automatic regularization

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC TECHNIQUE; COMPUTATIONAL TIME; CROSS VALIDATION; LEARNING METHODS; LINEAR SYSTEM OF EQUATIONS; REGULARIZATION PARAMETERS; SUPERVISED LEARNING METHODS; THEORETICAL BASIS; TWO LAYERS;

EID: 68749104983     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02478-8_20     Document Type: Conference Paper
Times cited : (1)

References (9)
  • 1
    • 0022471098 scopus 로고
    • Learning Representations of Back-Propagation Errors
    • Rumelhart, D.E., Hinton, G.E., Willian, R.J.: Learning Representations of Back-Propagation Errors. Nature 323, 533-536 (1986)
    • (1986) Nature , vol.323 , pp. 533-536
    • Rumelhart, D.E.1    Hinton, G.E.2    Willian, R.J.3
  • 5
    • 33745736708 scopus 로고    scopus 로고
    • Linear least-squares based methods for neural networks learning
    • Kaynak, O, Alpaydm, E, Oja, E, Xu, L, eds, ICANN 2003 and ICONIP 2003, Springer, Heidelberg
    • Fontenla-Romero, O., Erdogmus, D., Principe, J.C., Alonso-Betanzos, A., Castillo, E.: Linear least-squares based methods for neural networks learning. In: Kaynak, O., Alpaydm, E., Oja, E., Xu, L. (eds.) ICANN 2003 and ICONIP 2003. LNCS, vol. 2714, pp. 84-91. Springer, Heidelberg (2003)
    • (2003) LNCS , vol.2714 , pp. 84-91
    • Fontenla-Romero, O.1    Erdogmus, D.2    Principe, J.C.3    Alonso-Betanzos, A.4    Castillo, E.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.