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Volumn , Issue , 2004, Pages 55-59

Modeling for an adaptive wavelet network parameter learning using genetic algorithms

Author keywords

Adaptive wavelet network; Genetic algorithm; Neural network; Speech signal

Indexed keywords

APPROXIMATION THEORY; BACKPROPAGATION; FOURIER TRANSFORMS; FUNCTIONS; GENETIC ALGORITHMS; NEURAL NETWORKS; OPTIMIZATION;

EID: 18944379429     PISSN: 10218181     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (8)
  • 1
    • 0001379053 scopus 로고
    • Neural network adaptive wavelets for signal representation and classification
    • September
    • Szu, H. H. and Kadambe, S., Neural Network Adaptive Wavelets for Signal Representation and Classification, Optical Engineering, September, Vol. 31, No. 9, pp.1907-1916, 1992
    • (1992) Optical Engineering , vol.31 , Issue.9 , pp. 1907-1916
    • Szu, H.H.1    Kadambe, S.2
  • 2
    • 0028479428 scopus 로고
    • Applications of adaptive wavelets for speech
    • September
    • Kadambe, S and Srinivasan, P., Applications of Adaptive Wavelets for Speech, Optical Engineering, September, Vol. 33, No. 7, pp.2204-2211, 1994
    • (1994) Optical Engineering , vol.33 , Issue.7 , pp. 2204-2211
    • Kadambe, S.1    Srinivasan, P.2
  • 3
    • 0023541050 scopus 로고
    • Learning algorithms for connectionist networks: Applied gradient methods of nonlinear optimization
    • San Diego, CA
    • Watrous, R., Learning Algorithms for Connectionist Networks: Applied Gradient Methods of Nonlinear Optimization, Proc. IEEE First Int. Conf. Neural Networks, San Diego, CA, 1987, Vol. 2, pp. 619-627.
    • (1987) Proc. IEEE First Int. Conf. Neural Networks , vol.2 , pp. 619-627
    • Watrous, R.1
  • 4
    • 0002906163 scopus 로고
    • Improving the convergence of back-propagation learning with second order methods
    • Touretzky, Hilton, and Sejnowski ed., Morgan-Kaufman, San Mateo
    • Becker, S. and Le Cun, Y., Improving the Convergence of Back-propagation Learning with Second Order Methods. Touretzky, Hilton, and Sejnowski ed., Proc. Connectionist Model Summer School, Morgan-Kaufman, San Mateo, pp. 29-37, 1988
    • (1988) Proc. Connectionist Model Summer School , pp. 29-37
    • Becker, S.1    Le Cun, Y.2
  • 5
    • 0023602770 scopus 로고
    • Optimal algorithms for adaptive networks: Second order back propagation, second order direct propagation, and second order hebbian learning
    • San Diego, II
    • Paker, 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 pp. 593-600, 1987.
    • (1987) IEEE First Int. Conf. Neural Networks , pp. 593-600
    • Paker, D.B.1
  • 7
    • 0023713091 scopus 로고
    • Application of fuzzy control for servo system
    • Li, Y. F. and Lau, C. C., "Application of fuzzy control for servo system," Proc, IEEE Robotics and Automation, Vol. 39, pp.1511-1519, 1988.
    • (1988) Proc, IEEE Robotics and Automation , vol.39 , pp. 1511-1519
    • Li, Y.F.1    Lau, C.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.