메뉴 건너뛰기




Volumn 1, Issue , 1999, Pages 317-324

Adaptive architecture of polynomial artificial neural network to forecast nonlinear time series

Author keywords

[No Author keywords available]

Indexed keywords

GENETIC ALGORITHMS; NEURAL NETWORKS; STRUCTURAL OPTIMIZATION; TIME SERIES;

EID: 84901433856     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.1999.781942     Document Type: Conference Paper
Times cited : (12)

References (29)
  • 3
    • 34249982739 scopus 로고
    • Predicting chaotic time series
    • Farmer, J. D. and Sidorowich, J. J., "Predicting Chaotic Time Series", Physical Review Letters, Vol. 59, No. 8, pp. 845-848, 1987.
    • (1987) Physical Review Letters , vol.59 , Issue.8 , pp. 845-848
    • Farmer, J.D.1    Sidorowich, J.J.2
  • 4
    • 0026692296 scopus 로고
    • Using CNLS-net to predict the mackey-glass chaotic time series
    • Mead, W. C., et al., "Using CNLS-Net to Predict the Mackey-Glass Chaotic Time Series", Proc. 1JCNN, pp. 485-490, 1991.
    • (1991) Proc. 1JCNN , pp. 485-490
    • Mead, W.C.1
  • 5
    • 51249162589 scopus 로고
    • Recursive prediction of chaotic time series
    • Stark, J., "Recursive Prediction of Chaotic Time Series", Journal of Nonlinear Science, Vol. 3, pp. 197-223, 1993.
    • (1993) Journal of Nonlinear Science , vol.3 , pp. 197-223
    • Stark, J.1
  • 9
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • Hornik K., Stinchcombe M. & White H.. Multilayer Feedforward Networks Are Universal Approximators. Neural Networks. 1989.
    • (1989) Neural Networks
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 10
    • 0026151476 scopus 로고
    • Electric load forecasting using an artificial neural network
    • Park, D. C. et al., "Electric Load Forecasting Using an Artificial Neural Network", IEEE Trans. Power Systems, Vol. 6, No. 2, pp. 442-449, 1991.
    • (1991) IEEE Trans. Power Systems , vol.6 , Issue.2 , pp. 442-449
    • Park, D.C.1
  • 11
    • 34249732552 scopus 로고
    • Polynomial and standard higher order neural network
    • San Francisco, CA, USA, 28 March-1 April
    • Chang C, Lin J.; & Cheung J., Polynomial and Standard Higher Order Neural Network. IEEE International Conference on Neural Networks, p. 989-94 vol. 2, San Francisco, CA, USA, 28 March-1 April, 1993.
    • (1993) IEEE International Conference on Neural Networks , vol.2 , pp. 989-994
    • Chang, C.1    Lin, J.2    Cheung, J.3
  • 12
    • 0024631931 scopus 로고
    • Representations of nonlinear systems: The NARMAX model
    • Chen S. & Billings S., Representations of nonlinear systems: the NARMAX model, Int. J. Control, vol. 49, no. 3, 1989.
    • (1989) Int. J. Control , vol.49 , Issue.3
    • Chen, S.1    Billings, S.2
  • 14
    • 0000262362 scopus 로고
    • Input-output parametric models for nonlinear systems
    • Leontaritis Y. & Billings S., Input-output parametric models for nonlinear systems, Int. J. Control, vol. 41, no. 2, 1985.
    • (1985) Int. J. Control , vol.41 , Issue.2
    • Leontaritis, Y.1    Billings, S.2
  • 15
    • 0024613194 scopus 로고
    • Recursive Prediction error parameter estimator for nonlinear models
    • Chen S. & Billings A., Recursive Prediction error parameter estimator for nonlinear models, Int. J. Control, vol. 49, no. 2, 1989.
    • (1989) Int. J. Control , vol.49 , Issue.2
    • Chen, S.1    Billings, A.2
  • 17
    • 0016483671 scopus 로고
    • A learning identification algorithm and its application to an environmental system
    • march
    • Duffy J. & Franklin M., A Learning Identification Algorithm and Its Application to an Environmental System, IEEE Transactions on Systems, Man and Cybernetics, vol. SMC-5, no. 2, march, 1975.
    • (1975) IEEE Transactions on Systems, Man and Cybernetics , vol.SMC-5 , Issue.2
    • Duffy, J.1    Franklin, M.2
  • 18
    • 33846896444 scopus 로고
    • Approximation of multivariate functions using ridge polynomial networks
    • Baltimore, MD, USA, 7-11 June
    • Shin Y. & Gosh J., Approximation of Multivariate Functions Using Ridge Polynomial Networks, IJCNN'92, p. 380-5, Baltimore, MD, USA, 7-11 June, 1992
    • (1992) IJCNN'92 , pp. 380-385
    • Shin, Y.1    Gosh, J.2
  • 19
    • 0028744839 scopus 로고
    • Modified bernestein polynomials and their connectionist interpretation
    • Orlando, Florida, USA, 27 June-2 July
    • Shin Y., Modified Bernestein Polynomials and Their Connectionist Interpretation, ICNN, p. 1433-8, vol. 3, Orlando, Florida, USA, 27 June-2 July, 1994.
    • (1994) ICNN , vol.3 , pp. 1433-1438
    • Shin, Y.1
  • 26
    • 0026287762 scopus 로고
    • A modified probabilistic neural network (PNN) for nonlinear time series analysis
    • Zaknich, A., de Silva, C. J. S. and Attikiouzel, Y., "A Modified Probabilistic Neural Network (PNN) for Nonlinear Time Series Analysis", Proc. IJCNN, 1991, pp. 1530-1535.
    • (1991) Proc. IJCNN , pp. 1530-1535
    • Zaknich, A.1    De Silva, C.J.S.2    Attikiouzel, Y.3
  • 27
    • 0026867458 scopus 로고
    • Extrapolation of mackey-glass data using cascade correlation
    • Ensley, D. and Nelson, D. E., "Extrapolation of Mackey-Glass Data Using Cascade Correlation", Simulation, Vol. 58, No. 5, pp. 333-339, 1992.
    • (1992) Simulation , vol.58 , Issue.5 , pp. 333-339
    • Ensley, D.1    Nelson, D.E.2
  • 28
    • 84954943722 scopus 로고
    • Neural networks for nonlinear dynamic system modeling and identification
    • Chen, S. and Billings, A., "Neural Networks for Nonlinear Dynamic System Modeling and Identification", Int. J. Control, Vol. 56, No. 2, pp. 319-346, 1992.
    • (1992) Int. J. Control , vol.56 , Issue.2 , pp. 319-346
    • Chen, S.1    Billings, A.2
  • 29
    • 0026954346 scopus 로고
    • Forecasting the behavior of multivariate time series using neural networks
    • Chakraborty K., Mehrotra K, Mohan K & Ranka S., Forecasting the Behavior of Multivariate Time Series Using neural Networks. Neural Networks, Vol. 5 pp. 961-970, 1992.
    • (1992) Neural Networks , vol.5 , pp. 961-970
    • Chakraborty, K.1    Mehrotra, K.2    Mohan, K.3    Ranka, S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.