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Volumn 145, Issue 6, 1998, Pages 365-370

A posteriori real-time recurrent learning schemes for a recurrent neural network based nonlinear predictor

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; LEARNING ALGORITHMS; LEARNING SYSTEMS; MATHEMATICAL MODELS; NONLINEAR FILTERING;

EID: 0032266710     PISSN: 1350245X     EISSN: None     Source Type: Journal    
DOI: 10.1049/ip-vis:19982458     Document Type: Article
Times cited : (13)

References (19)
  • 1
    • 0024648435 scopus 로고
    • Adaptive IIR filtering'
    • SHYNK, J. Adaptive IIR filtering', IEEE ASSP Mag., 1989, 6, (2), pp. 4-21
    • (1989) IEEE ASSP Mag. , vol.6 , Issue.2 , pp. 4-21
    • Shynk, J.1
  • 4
    • 0016495091 scopus 로고
    • Linear prediction: A tutorial overview'
    • MAKHOUL, J. Linear prediction: A tutorial overview', Proc. IEEE, 1975, 63, (4), pp. 561-580
    • (1975) Proc. IEEE , vol.63 , Issue.4 , pp. 561-580
    • Makhoul, J.1
  • 5
    • 0026187058 scopus 로고
    • Adaptive polynomial filters'
    • MATHEWS. V. Adaptive polynomial filters', IEEE Signal Process. Mag., 1991, 8, (3), pp. 10-26
    • (1991) IEEE Signal Process. Mag. , vol.8 , Issue.3 , pp. 10-26
    • Mathews, V.1
  • 7
    • 0026420466 scopus 로고
    • Neural net nonlinear prediction for speech data'
    • DILLON, R.M., and MANIKOPOULOS, C.N. Neural net nonlinear prediction for speech data', Electron. Lett., 1991, 27, (10), pp. 824-826
    • (1991) Electron. Lett. , vol.27 , Issue.10 , pp. 824-826
    • Dillon, R.M.1    Manikopoulos, C.N.2
  • 9
    • 0026858840 scopus 로고
    • Predicting time series by a fully connected neural network trained by back propagation'
    • GENT, C.R., and SHEPPARD, C.P. Predicting time series by a fully connected neural network trained by back propagation', Compiit. Control Eng. J.. 1992, pp. 109-112
    • (1992) Compiit. Control Eng. J.. , pp. 109-112
    • Gent, C.R.1    Sheppard, C.P.2
  • 12
    • 0001202594 scopus 로고
    • A learning algorithm for continually running fully recurrent neural networks'
    • WILLIAMS, R., and ZIPSER, D. A learning algorithm for continually running fully recurrent neural networks', Neural Comput., 1989, 1, pp. 270-280
    • (1989) Neural Comput. , vol.1 , pp. 270-280
    • Williams, R.1    Zipser, D.2
  • 15
    • 0028401357 scopus 로고
    • Recurrent neural networks and robust time series prediction'
    • CONNOR, J.T., MARTIN, R.D., and ATLAS, L.E. Recurrent neural networks and robust time series prediction', IEEE Trans. Neural Netw.. 1994, 5, (2), pp. 240-254
    • (1994) IEEE Trans. Neural Netw.. , vol.5 , Issue.2 , pp. 240-254
    • Connor, J.T.1    Martin, R.D.2    Atlas, L.E.3
  • 16
    • 0342336543 scopus 로고    scopus 로고
    • Non-linear adaptive prediction of speech with a pipelined recurrent neural network and advanced learning algorithms'
    • in PROCHAZKA, A., UHLIR, J., RAYNER, P.J.W., and KINGSBURY, N.G. (Eds.) Birkhauser, Boston
    • MANDIC, O.P., BALTERSEE, J., and CHAMBERS, J.A. Non-linear adaptive prediction of speech with a pipelined recurrent neural network and advanced learning algorithms', in PROCHAZKA, A., UHLIR, J., RAYNER, P.J.W., and KINGSBURY, N.G. (Eds.) Signal analysis and prediction' (Birkhauser, Boston, 1998)
    • (1998) Signal Analysis and Prediction'
    • Mandic, O.P.1    Baltersee, J.2    Chambers, J.A.3
  • 19
    • 33749796319 scopus 로고    scopus 로고
    • http://www.dsp.ee.ic.ac.uk/mandic.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.