메뉴 건너뛰기




Volumn 20, Issue 9, 1996, Pages 1133-1140

Modified Quasi-Newton methods for training neural networks

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; CONVERGENCE OF NUMERICAL METHODS; LEARNING ALGORITHMS; LEARNING SYSTEMS;

EID: 0030243770     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/0098-1354(95)00228-6     Document Type: Article
Times cited : (37)

References (24)
  • 1
    • 0019927659 scopus 로고
    • Theoretical investigations of dynamic behavior of isothermal continuous stirred tank biological reactors
    • Agrawal P., C. Lee, H. C. Lim and D. Ramkrishna, Theoretical investigations of dynamic behavior of isothermal continuous stirred tank biological reactors. Chem. Engng Sci. 37, 453-562 (1982).
    • (1982) Chem. Engng Sci. , vol.37 , pp. 453-562
    • Agrawal, P.1    Lee, C.2    Lim, H.C.3    Ramkrishna, D.4
  • 2
    • 84966275544 scopus 로고
    • Minimization of functions having Lipschitz-continuous first partial derivatives
    • Armijo L., Minimization of functions having Lipschitz-continuous first partial derivatives. Pac. J. Math. 16, 1-3 (1966).
    • (1966) Pac. J. Math. , vol.16 , pp. 1-3
    • Armijo, L.1
  • 3
    • 0026835298 scopus 로고
    • Optimization for training neural nets
    • Barnard E., Optimization for training neural nets. IEEE Trans. Neural Networks 3, 232-240 (1992).
    • (1992) IEEE Trans. Neural Networks , vol.3 , pp. 232-240
    • Barnard, E.1
  • 4
    • 0002906163 scopus 로고
    • Improving the convergence of back-propagation learning with second order methods
    • D. Touretzky, G. Hinton and T. Sejnowski (eds). Morgan-Kaufman, San Mateo
    • Becker S. and Y. Le Cun, Improving the convergence of back-propagation learning with second order methods. In D. Touretzky, G. Hinton and T. Sejnowski (eds). Proc. Connectionist Model Summer School, pp. 29-37. Morgan-Kaufman, San Mateo (1988).
    • (1988) Proc. Connectionist Model Summer School , pp. 29-37
    • Becker, S.1    Le Cun, Y.2
  • 5
    • 0026953321 scopus 로고
    • Enhanced training algorithms and integrated training/architecture selection for multilayer perceptron networks
    • Bello M. G., Enhanced training algorithms and integrated training/architecture selection for multilayer perceptron networks. IEEE Trans. Neural Networks 3, 864-875 (1992).
    • (1992) IEEE Trans. Neural Networks , vol.3 , pp. 864-875
    • Bello, M.G.1
  • 6
    • 0011805758 scopus 로고
    • Exact calculation of the Hessian matrix for the multilayer perceptron
    • Bishop C., Exact calculation of the Hessian matrix for the multilayer perceptron. Neural Comput. 4, 494-501 (1992).
    • (1992) Neural Comput. , vol.4 , pp. 494-501
    • Bishop, C.1
  • 9
    • 0000615669 scopus 로고
    • Function minimization by conjugate gradients
    • Fletcher R. and C. M. Reeves, Function minimization by conjugate gradients. Comput. J. 7, 149-154 (1964).
    • (1964) Comput. J. , vol.7 , pp. 149-154
    • Fletcher, R.1    Reeves, C.M.2
  • 10
    • 0040287998 scopus 로고
    • Artificial neural network model of knowledge representation in chemical engineering
    • Hoskins J. C. and D. M. Himmelblau, Artificial neural network model of knowledge representation in chemical engineering. Computers chem. Engng 12, 881-890 (1988).
    • (1988) Computers Chem. Engng , vol.12 , pp. 881-890
    • Hoskins, J.C.1    Himmelblau, D.M.2
  • 11
    • 0024137490 scopus 로고
    • Increased rates of convergences through learning rate adaptation
    • Jacobs R. A., Increased rates of convergences through learning rate adaptation. Neural Networks 1, 29-36 (1988).
    • (1988) Neural Networks , vol.1 , pp. 29-36
    • Jacobs, R.A.1
  • 12
    • 0024715766 scopus 로고
    • An adaptive least squares algorithm for the efficient training of artificial neural networks
    • Kollias S. and D. Anastassiou, An adaptive least squares algorithm for the efficient training of artificial neural networks. IEEE Trans. Circuits Systems 36, 1092-1101 (1989).
    • (1989) IEEE Trans. Circuits Systems , vol.36 , pp. 1092-1101
    • Kollias, S.1    Anastassiou, D.2
  • 13
    • 0025403609 scopus 로고
    • Improvement of the backpropagation algorithm for training neural networks
    • Leonard J. A. and M. A. Kramer, Improvement of the backpropagation algorithm for training neural networks. Computers chem. Engng 14, 337-341 (1990).
    • (1990) Computers Chem. Engng , vol.14 , pp. 337-341
    • Leonard, J.A.1    Kramer, M.A.2
  • 14
    • 0027007477 scopus 로고
    • Nonlinear internal model control strategy for neural network models
    • Nahas E. P., M. A. Henson and D. E. Seborg, Nonlinear internal model control strategy for neural network models. Computers chem. Engng 16, 1039-1057 (1992).
    • (1992) Computers Chem. Engng , vol.16 , pp. 1039-1057
    • Nahas, E.P.1    Henson, M.A.2    Seborg, D.E.3
  • 15
    • 0023602770 scopus 로고
    • Optimal algorithms for adaptive networks: Second order back propagation, second order direct propagation, and second order Hebbian learning
    • San Diego, II-593-600
    • Parker D. B., Optimal algorithms for adaptive networks: second order back propagation, second order direct propagation, and second order Hebbian learning. IEEE First Int. Conf. Neural Networks, San Diego, II-593-600 (1987).
    • (1987) IEEE First Int. Conf. Neural Networks
    • Parker, D.B.1
  • 17
    • 0025841422 scopus 로고
    • Rescaling of variables in backpropagation learning
    • Rigler A. K., J. M. Irvine and K. Vogl, Rescaling of variables in backpropagation learning. Neural Networks 4, 225-229 (1991).
    • (1991) Neural Networks , vol.4 , pp. 225-229
    • Rigler, A.K.1    Irvine, J.M.2    Vogl, K.3
  • 19
    • 0025593679 scopus 로고
    • SuperSAB: Fast adaptive backpropagation with good scaling properties
    • Tallaneare T., SuperSAB: fast adaptive backpropagation with good scaling properties. Neural Networks 3, 561-573 (1990).
    • (1990) Neural Networks , vol.3 , pp. 561-573
    • Tallaneare, T.1
  • 20
    • 0025086703 scopus 로고
    • Ultaviolet multiwavelength absorptiometry (UVMA) for the examination of natural waters and wastewaters; part I: General considerations
    • Thomas O. and S. Gallot, Ultaviolet multiwavelength absorptiometry (UVMA) for the examination of natural waters and wastewaters; part I: general considerations. Fresenius J. Anal. Chem. 338, 234-237 (1990).
    • (1990) Fresenius J. Anal. Chem. , vol.338 , pp. 234-237
    • Thomas, O.1    Gallot, S.2
  • 21
    • 0026711368 scopus 로고
    • Improving the convergence of the back-propagation algorithm
    • Van Ooyen A. and B. Nienhuis, Improving the convergence of the back-propagation algorithm. Neural Networks 5, 465-471 (1992).
    • (1992) Neural Networks , vol.5 , pp. 465-471
    • Van Ooyen, A.1    Nienhuis, B.2
  • 22
    • 0003323760 scopus 로고
    • A bioreactor benchmark for adaptive network-based process control
    • W. T. Miller, III, R. S. Sutton and P. J. Werbos (eds), Ch. 16. MIT Press, Cambridge, MA, U.S.A.
    • Ungar L. H., A bioreactor benchmark for adaptive network-based process control. In W. T. Miller, III, R. S. Sutton and P. J. Werbos (eds), Neural Networks for Control, Ch. 16. MIT Press, Cambridge, MA, U.S.A. (1990).
    • (1990) Neural Networks for Control
    • Ungar, L.H.1
  • 23
    • 0023541050 scopus 로고
    • Learning algorithms for connectionist networks: Applied gradient methods of nonlinear optimization
    • San Diego, II-619-627
    • Watrous R. L., Learning algorithms for connectionist networks: applied gradient methods of nonlinear optimization. IEEE First Int. Conf. Neural Networks, San Diego, II-619-627 (1987).
    • (1987) IEEE First Int. Conf. Neural Networks
    • Watrous, R.L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.