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Volumn 11, Issue 5, 1998, Pages 837-850

The extended piecewise quadratic neural network

Author keywords

Neural networks; Non linear classifier; Pattern recognition; Quadratic forms

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTER ARCHITECTURE; DECISION THEORY; PATTERN RECOGNITION; PIECEWISE LINEAR TECHNIQUES; QUADRATIC PROGRAMMING; VECTORS;

EID: 0032124319     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0893-6080(98)00057-4     Document Type: Article
Times cited : (6)

References (17)
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    • Barnard, E.1    Casasent, D.2
  • 2
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    • A classifier neural net with complex-valued weights and square-law nonlinearities
    • Casasent D., Natarajan S. A classifier neural net with complex-valued weights and square-law nonlinearities. Neural Networks. 8(6):1995;989-998.
    • (1995) Neural Networks , vol.8 , Issue.6 , pp. 989-998
    • Casasent, D.1    Natarajan, S.2
  • 3
    • 0027242809 scopus 로고
    • Initializing backpropagation networks with prototypes
    • Denoeux T., Lengelle R. Initializing backpropagation networks with prototypes. Neural Networks. 6(3):1993;351-363.
    • (1993) Neural Networks , vol.6 , Issue.3 , pp. 351-363
    • Denoeux, T.1    Lengelle, R.2
  • 5
    • 85075836819 scopus 로고
    • Differential theory of learning for efficient neural network pattern recognition
    • In S. Rogers (Ed.), Society of Photo-Optical Instrumentation Engineers.
    • Hampshire, J.B. & Kumar, B.V.K.V. (1993). Differential theory of learning for efficient neural network pattern recognition. In S. Rogers (Ed.), Applications of Artificial Neural Networks IV, Vol. 1965 (pp. 76-95). Society of Photo-Optical Instrumentation Engineers.
    • (1993) Applications of Artificial Neural Networks IV , vol.1965 , pp. 76-95
    • Hampshire, J.B.1    Kumar, B.V.K.V.2
  • 7
    • 0004151494 scopus 로고
    • Cambridge, UK: Cambridge University Press.
    • Horn, R. & Johnson, C. (1985). Matrix Analysis. Cambridge, UK: Cambridge University Press.
    • (1985) Matrix Analysis
    • Horn, R.1    Johnson, C.2
  • 8
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • Hornik K., Stinchcombe M., White H. Multilayer feedforward networks are universal approximators. Neural Networks. 2(2):1989;359-366.
    • (1989) Neural Networks , vol.2 , Issue.2 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 11
    • 33846446220 scopus 로고
    • Restart procedures for the conjugate gradient method
    • Powell M.J.D. Restart procedures for the conjugate gradient method. Mathematical Programming. 12:1977;241-254.
    • (1977) Mathematical Programming , vol.12 , pp. 241-254
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  • 13
    • 0003621102 scopus 로고
    • An introduction to the conjugate gradient method without agonizing pain
    • Carnegie Mellon University, Pittsburgh, PA, USA.
    • Shewchuck, J. R. (1994). An introduction to the conjugate gradient method without agonizing pain. Technical Report CMU-CS-94-125, Carnegie Mellon University, Pittsburgh, PA, USA.
    • (1994) Technical Report CMU-CS-94-125
    • Shewchuck, J.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.