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IEEE International Symposium on Industrial Electronics
Volumn , Issue , 2007, Pages 3298-3303
Method of computing gradient vector and Jacobean matrix in arbitrarily connected neural networks
Author keywords

[No Author keywords available]
Indexed keywords

ARTIFICIAL INTELLIGENCE; ELECTRIC NETWORK TOPOLOGY; ELECTRONICS INDUSTRY; INDUSTRIAL ELECTRONICS; NEURONS; SPICE; TECHNICAL PRESENTATIONS;
EID: 50049135913     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISIE.2007.4375144     Document Type: Conference Paper
Times cited : (26)
References (6)
  • 1
    • 0004040732 scopus 로고
    • A. Modified Regression Algorithm for Fast One Layer Neural Network Training
    • Washington DC, USA, July 17-21
    • Andersen, T. J. and Wilamowski, B.M. "A. Modified Regression Algorithm for Fast One Layer Neural Network Training", World Congress of Neural Networks, vol. 1, pp. 687-690, Washington DC, USA, July 17-21, 1995.
    • (1995) World Congress of Neural Networks , vol.1 , pp. 687-690
    • Andersen, T.J.1    Wilamowski, B.M.2
  • 2
    • 0028543366 scopus 로고
    • Training feedforward networks with the Marquardt algorithm
    • Hagan, M. T. and Menhaj, M., "Training feedforward networks with the Marquardt algorithm", IEEE Transactions on Neural Networks, vol. 5, no. 6, pp. 989-993, 1994.
    • (1994) IEEE Transactions on Neural Networks , vol.5 , Issue.6 , pp. 989-993
    • Hagan, M.T.1    Menhaj, M.2
  • 3
    • 0022471098 scopus 로고
    • Learning representations by back-propagating errors
    • Rumenhart, D. E., Hinton, G. E. and Wiliams, R. J, "Learning representations by back-propagating errors", Nature, vol. 323, pp. 533-536, 1986
    • (1986) Nature , vol.323 , pp. 533-536
    • Rumenhart, D.E.1    Hinton, G.E.2    Wiliams, R.J.3
  • 4
    • 0028757192 scopus 로고    scopus 로고
    • Salvetti, A. and Wilamowski, B. M., Introducing Stochastic Process within the Backpropagation Algorithm for Improved Convergence, presented at ANNIE'94 - Artificial Neural Networks in Engineering, St. Louis, Missouri, USA, November 13-16, 1994;
    • Salvetti, A. and Wilamowski, B. M., "Introducing Stochastic Process within the Backpropagation Algorithm for Improved Convergence", presented at ANNIE'94 - Artificial Neural Networks in Engineering, St. Louis, Missouri, USA, November 13-16, 1994;
  • 5
    • 2942687569 scopus 로고    scopus 로고
    • Hybrid identification of nuclear power plant transients with artificial neural networks
    • June
    • Embrechts, M.J.; Benedek, S.; "Hybrid identification of nuclear power plant transients with artificial neural networks," IEEE Transactions on Industrial Electronics Volume 51, Issue 3, June 2004 pp. 686-693
    • (2004) IEEE Transactions on Industrial Electronics , vol.51 , Issue.3 , pp. 686-693
    • Embrechts, M.J.1    Benedek, S.2
  • 6
    • 0032678209 scopus 로고    scopus 로고
    • Recurrent-neural- network-based implementation of a programmable cascaded low-pass filter used in stator flux synthesis of vector-controlled induction motor drive
    • June
    • Da Silva, L.E.B.; Bose, B.K.; Pinto, J.O.P.; "Recurrent-neural- network-based implementation of a programmable cascaded low-pass filter used in stator flux synthesis of vector-controlled induction motor drive," IEEE Transactions on Industrial Electronics Volume 46, Issue 3, June 1999 pp. 662-665
    • (1999) IEEE Transactions on Industrial Electronics , vol.46 , Issue.3 , pp. 662-665
    • Da Silva, L.E.B.1    Bose, B.K.2    Pinto, J.O.P.3

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.