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Volumn 7664 LNCS, Issue PART 2, 2012, Pages 491-500

Echo state networks and extreme learning machines: A comparative study on seasonal streamflow series prediction

Author keywords

Echo State Networks; Extreme Learning Machine; Forecasting; Monthly Seasonal Streamflow Series; PCA; Volterra Filtering

Indexed keywords

ECHO STATE NETWORKS; EXTREME LEARNING MACHINE; MONTHLY SEASONAL STREAMFLOW SERIES; PCA; VOLTERRA FILTERING;

EID: 84869008963     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-34481-7_60     Document Type: Conference Paper
Times cited : (27)

References (16)
  • 1
    • 80054773631 scopus 로고    scopus 로고
    • An Echo State Network Architecture Based on Volterra Filtering and PCA with Application to the Channel Equalization Problem
    • IEEE
    • Boccato, L., Lopes, A., Attux, R., Von Zuben, F.J.: An Echo State Network Architecture Based on Volterra Filtering and PCA With Application to the Channel Equalization Problem. In: 2011 IJCNN, pp. 580-587. IEEE (2011)
    • (2011) 2011 IJCNN , pp. 580-587
    • Boccato, L.1    Lopes, A.2    Attux, R.3    Von Zuben, F.J.4
  • 2
    • 84861784861 scopus 로고    scopus 로고
    • An Extended Echo State Network Using Volterra Filtering and Principal Component Analysis
    • Boccato, L., Lopes, A., Attux, R., Von Zuben, F.J.: An Extended Echo State Network Using Volterra Filtering and Principal Component Analysis. Neural Networks 32, 292-302 (2012)
    • (2012) Neural Networks , vol.32 , pp. 292-302
    • Boccato, L.1    Lopes, A.2    Attux, R.3    Von Zuben, F.J.4
  • 7
    • 33745903481 scopus 로고    scopus 로고
    • Extreme Learning Machine: Theory and Applications
    • Huang, G.B., Zhu, Q.Y., Siew, C.K.: Extreme Learning Machine: Theory and Applications. Neurocomputing 70, 489-501 (2006)
    • (2006) Neurocomputing , vol.70 , pp. 489-501
    • Huang, G.B.1    Zhu, Q.Y.2    Siew, C.K.3
  • 8
    • 33745918399 scopus 로고    scopus 로고
    • Universal approximation using incremental constructive feedforward networks with random hidden nodes
    • Huang, G.B., Chen, L., Siew, C.K.: Universal approximation using incremental constructive feedforward networks with random hidden nodes. IEEE Transactions on Neural Networks 17, 879-892 (2006)
    • (2006) IEEE Transactions on Neural Networks , vol.17 , pp. 879-892
    • Huang, G.B.1    Chen, L.2    Siew, C.K.3
  • 11
    • 68649088777 scopus 로고    scopus 로고
    • Reservoir computing approaches to recurrent neural network training
    • Lukoševičius, M., Jaeger, H.: Reservoir computing approaches to recurrent neural network training. Computer Science Review 3, 127-149 (2009)
    • (2009) Computer Science Review , vol.3 , pp. 127-149
    • Lukoševičius, M.1    Jaeger, H.2
  • 12
    • 79956367448 scopus 로고    scopus 로고
    • Top-Down Strategies Based on Adaptive Fuzzy Rule-Based Systems for Daily Time Series Forecasting
    • Luna, I., Ballini, R.: Top-Down Strategies Based on Adaptive Fuzzy Rule-Based Systems for Daily Time Series Forecasting. International Journal of Forecasting, 1-17 (2011)
    • (2011) International Journal of Forecasting , pp. 1-17
    • Luna, I.1    Ballini, R.2
  • 13
    • 33846023013 scopus 로고    scopus 로고
    • Analysis and Design of Echo State Networks
    • Ozturk, M.C., Xu, D., Príncipe, J.C.: Analysis and Design of Echo State Networks. Neural Computation 19, 111-138 (2007)
    • (2007) Neural Computation , vol.19 , pp. 111-138
    • Ozturk, M.C.1    Xu, D.2    Príncipe, J.C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.