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Volumn 3141, Issue , 2004, Pages 40-48

Echo state networks and self-prediction

Author keywords

[No Author keywords available]

Indexed keywords

ADDITIVE NOISE; WHITE NOISE;

EID: 33749862048     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-27835-1_4     Document Type: Article
Times cited : (16)

References (11)
  • 1
    • 1842436050 scopus 로고    scopus 로고
    • The 'echo state' approach to analysing and training recurrent neural networks
    • GMD German National Research Institute for Computer Science
    • H. Jaeger, The 'echo state' approach to analysing and training recurrent neural networks. GMD Report 148, GMD German National Research Institute for Computer Science (2001). http://www.gmd.de/People/Herbert.Jaeger/Publications. html
    • (2001) GMD Report 148
    • Jaeger, H.1
  • 2
    • 1842488370 scopus 로고    scopus 로고
    • Short term memory in echo state networks
    • GMD German National Research Insitute for Computer Science
    • H. Jaeger, Short term memory in echo state networks. GMD Report 152, GMD German National Research Insitute for Computer Science (2001). http://www.gmd.de/People/Herbert.Jaeger/Publications.html
    • (2001) GMD Report 152
    • Jaeger, H.1
  • 3
    • 78349289898 scopus 로고    scopus 로고
    • Adaptive nonlinear system identification with echo state networks
    • H. Jaeger, Adaptive nonlinear system identification with echo state networks. Proc. of NIPS 2002, AA14 (2003).
    • (2003) Proc. of NIPS 2002 , vol.AA14
    • Jaeger, H.1
  • 4
    • 0003877731 scopus 로고    scopus 로고
    • Real-time computing without stable states: A new framework on for neural computation based on perturbations
    • W. Maas, T. Natschläger, and H. Markram, Real-time computing without stable states: A new framework on for neural computation based on perturbations. NeuroCOLT Technical Report NC-TR-01-113 (2001).
    • (2001) NeuroCOLT Technical Report NC-TR-01-113
    • Maas, W.1    Natschläger, T.2    Markram, H.3
  • 6
    • 0025503558 scopus 로고
    • Backpropagation through time: What it does and how to do it
    • PJ. Werbos, Backpropagation through time: what it does and how to do it. Proceedings of the IEEE 78(10), 1550-1560 (1990).
    • (1990) Proceedings of the IEEE , vol.78 , Issue.10 , pp. 1550-1560
    • Werbos, P.J.1
  • 7
    • 0036240796 scopus 로고    scopus 로고
    • Perceiving patterns in random series: Dynamic processing of sequence in the prefrontal cortex
    • SA. Huettel,PB. Mack, G. McCarthy, Perceiving patterns in random series: dynamic processing of sequence in the prefrontal cortex, Nature Neurosci. 5:5,pp 485-490 (2002).
    • (2002) Nature Neurosci. , vol.5 , Issue.5 , pp. 485-490
    • Huettel, S.A.1    Mack, P.B.2    McCarthy, G.3
  • 8
    • 0034293152 scopus 로고    scopus 로고
    • Learning to forget: Continual prediction with LSTM
    • F.A. Gers, J. Schmidhuber, and F. Cummins. Learning to forget: continual prediction with LSTM. Neural Computation, 12(10):2451-2471 (2000)
    • (2000) Neural Computation , vol.12 , Issue.10 , pp. 2451-2471
    • Gers, F.A.1    Schmidhuber, J.2    Cummins, F.3
  • 9
    • 26444565569 scopus 로고
    • Finding Structure in Time
    • J. Elman. Finding Structure in Time. Cognitive Science, 14(2):179-211 (1990).
    • (1990) Cognitive Science , vol.14 , Issue.2 , pp. 179-211
    • Elman, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.