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Volumn , Issue , 2010, Pages 15-22

Challenges in applications of computational intelligence in industrial electronics

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX PROBLEMS; COMPUTATIONAL INTELLIGENCE; MULTILAYER PRECEPTRONS; NONLINEAR MAPPINGS; OPTIMAL NEURAL NETWORK; TRAINING PATTERNS;

EID: 78349296221     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISIE.2010.5637934     Document Type: Conference Paper
Times cited : (32)

References (16)
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    • Bodgan M. Wilamowski, "Methods of Computational Intelligence for Nonlinear Control Systems" (keynote talk) ICCAE' 05 International Conference on Control, Automation and System, June 2-5, 2005, KINTEX, Gyeonggi-Do, Korea, pp. P1-P8
    • (2005) ICCAE' 05 International Conference on Control, Automation and System
    • Wilamowski, B.M.1
  • 3
    • 45449126257 scopus 로고
    • Structure identification of fuzzy model
    • Sugeno and G. T. Kang, "Structure Identification of Fuzzy Model," Fuzzy Sets and Systems. Vol. 28, No. 1, pp. 15-33, 1988.
    • (1988) Fuzzy Sets and Systems , vol.28 , Issue.1 , pp. 15-33
    • Sugeno1    Kang, G.T.2
  • 4
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its application to modeling and control
    • T. Takagi and M. Sugeno, "Fuzzy Identification of Systems and Its Application to Modeling and Control," IEEE Transactions on System, Man, Cybernetics, Vol. 15, No. I, pp. 116-132, 1985.
    • (1985) IEEE Transactions on System, Man, Cybernetics , vol.15 , Issue.1 , pp. 116-132
    • Takagi, T.1    Sugeno, M.2
  • 6
    • 78650350598 scopus 로고    scopus 로고
    • Improved computation in levenberg marquardt training
    • (accepted for publication)
    • B. M. Wilamowski and H. Yu, "Improved Computation in Levenberg Marquardt Training," IEEE Trans. on Neural Networks (accepted for publication).
    • IEEE Trans. on Neural Networks
    • Wilamowski, B.M.1    Yu, H.2
  • 7
    • 54249093329 scopus 로고    scopus 로고
    • Computing gradient vector and jacobian matrix in arbitrarily connected neural networks
    • Oct.
    • Wilamowski, B.M. Cotton, N.J. Kaynak, O. Dundar, G., "Computing Gradient Vector and Jacobian Matrix in Arbitrarily Connected Neural Networks", IEEE Trans. on Industrial Electronics, vol. 55, no. 10, pp. 3784-3790, Oct. 2008.
    • (2008) IEEE Trans. on Industrial Electronics , vol.55 , Issue.10 , pp. 3784-3790
    • Wilamowski, B.M.1    Cotton, N.J.2    Kaynak, O.3    Dundar, G.4
  • 8
    • 73449111308 scopus 로고    scopus 로고
    • Neural network architectures and learning algorithms
    • Dec.
    • B. M. Wilamowski, "Neural Network Architectures and Learning Algorithms," IEEE Industrial Electronics Magazine, vol. 3, no. 4, pp. 56-63, Dec. 2009
    • (2009) IEEE Industrial Electronics Magazine , vol.3 , Issue.4 , pp. 56-63
    • Wilamowski, B.M.1
  • 11
    • 78650351114 scopus 로고    scopus 로고
    • Efcient neural network architectures and advanced training algorithms
    • ICIT-10 Gdansk, Poland, June 28-30
    • B. M. Wilamowski, "Efcient neural network architectures and advanced training algorithms", ICIT-10, 3-rd Interational Conference on Information Technology, Gdansk, Poland, June 28-30, 2010.
    • (2010) 3-rd Interational Conference on Information Technology
    • Wilamowski, B.M.1
  • 12
    • 70349313638 scopus 로고    scopus 로고
    • Special neural network architectures for easy electronic implementations
    • Lisbon, Portugal, March 18-20
    • B. M. Wilamowski, "Special Neural Network Architectures for Easy Electronic Implementations" POWERENG. 2009, Lisbon, Portugal, March 18-20, 2009, pp. 17-22
    • (2009) POWERENG. 2009 , pp. 17-22
    • Wilamowski, B.M.1
  • 13
    • 0022471098 scopus 로고
    • Learing representations by back-propagating errors
    • Rumelhart D. E., G. E. Hinton, R. J. Williams, "Learing representations by back-propagating errors". Nature, vol. 323, pp. 533-536, 1986.
    • (1986) Nature , vol.323 , pp. 533-536
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 16
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    • Training feedforward networks with the marquardt algorithm
    • Nov.
    • M. T. Hagan, M.B. Menhaj, "Training feedforward networks with the Marquardt algorithm". IEEE Trans. on Neural Network, vol. 5, no. 6, pp. 989-993, Nov. 1994.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.