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Volumn , Issue , 2010, Pages

Memory versus non-linearity in reservoirs

Author keywords

[No Author keywords available]

Indexed keywords

PATTERN RECOGNITION;

EID: 79959400804     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2010.5596492     Document Type: Conference Paper
Times cited : (79)

References (20)
  • 1
    • 77953355233 scopus 로고    scopus 로고
    • Connectivity, dynamics, and memory in reservoir computing with binary and analog neurons
    • Lars Buesing, Benjamin Schrauwen, and Robert Legenstein. Connectivity, dynamics, and memory in reservoir computing with binary and analog neurons. Neural Computation, 22(5):1272-1311, 2010.
    • (2010) Neural Computation , vol.22 , Issue.5 , pp. 1272-1311
    • Buesing, L.1    Schrauwen, B.2    Legenstein, R.3
  • 2
    • 84918441630 scopus 로고
    • Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition
    • T.M. Cover. Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition. IEEE transactions on electronic computers, 14(3):326-334, 1965.
    • (1965) IEEE Transactions on Electronic Computers , vol.14 , Issue.3 , pp. 326-334
    • Cover, T.M.1
  • 5
    • 76849110605 scopus 로고    scopus 로고
    • Memory in linear recurrent neural networks in continuous time
    • Michiel Hermans and Benjamin Schrauwen. Memory in linear recurrent neural networks in continuous time. Neural Networks, 2010.
    • (2010) Neural Networks
    • Hermans, M.1    Schrauwen, B.2
  • 6
    • 34249938474 scopus 로고    scopus 로고
    • Optimization and applications of echo state networks with leaky- Integrator neurons
    • DOI 10.1016/j.neunet.2007.04.016, PII S089360800700041X, Echo State Networks and Liquid State Machines
    • H. Jaeger, M. Lukosevicius, and D. Popovici. Optimization and applications of echo state networks with leaky integrator neurons. Neural Networks, 20:335-352, 2007. (Pubitemid 46876638)
    • (2007) Neural Networks , vol.20 , Issue.3 , pp. 335-352
    • Jaeger, H.1    Lukosevicius, M.2    Popovici, D.3    Siewert, U.4
  • 7
    • 1842436050 scopus 로고    scopus 로고
    • The "echo state" approach to analysing and training recurrent neural networks
    • German National Research Center for Information Technology
    • Herbert Jaeger. The "echo state" approach to analysing and training recurrent neural networks. Technical Report GMD Report 148, German National Research Center for Information Technology, 2001.
    • (2001) Technical Report GMD Report 148
    • Jaeger, H.1
  • 8
    • 1842488370 scopus 로고    scopus 로고
    • Short term memory in echo state networks
    • German National Research Center for Information Technology
    • Herbert Jaeger. Short term memory in echo state networks. Technical Report GMD Report 152, German National Research Center for Information Technology, 2001.
    • (2001) Technical Report GMD Report 152
    • Jaeger, H.1
  • 9
    • 1842421269 scopus 로고    scopus 로고
    • Harnessing nonlinearity: Predicting chaotic systems and saving energy in wireless telecommunication
    • April 2
    • Herbert Jaeger and Harald Haas. Harnessing nonlinearity: predicting chaotic systems and saving energy in wireless telecommunication. Science, 308:78-80, April 2 2004.
    • (2004) Science , vol.308 , pp. 78-80
    • Jaeger, H.1    Haas, H.2
  • 10
    • 68649088777 scopus 로고    scopus 로고
    • Reservoir computing approaches to recurrent neural network training
    • M. Lukoševičius and H. Jaeger. Reservoir computing approaches to recurrent neural network training. Computer Science Review, 3(3):127-149, 2009.
    • (2009) Computer Science Review , vol.3 , Issue.3 , pp. 127-149
    • Lukoševičius, M.1    Jaeger, H.2
  • 11
    • 0036834701 scopus 로고    scopus 로고
    • Realtime computing without stable states: A new framework for neural computation based on perturbations
    • W. Maass, T. Natschläger, and H. Markram. Realtime computing without stable states: A new framework for neural computation based on perturbations. Neural Computation, 14(11):2531-2560, 2002.
    • (2002) Neural Computation , vol.14 , Issue.11 , pp. 2531-2560
    • Maass, W.1    Natschläger, T.2    Markram, H.3
  • 13
    • 33846023013 scopus 로고    scopus 로고
    • Analysis and design of echo state networks
    • M. C. Ozturk, D. Xu, and J. C. Principe. Analysis and design of echo state networks. Neural Computation, 19:111-138, 2006.
    • (2006) Neural Computation , vol.19 , pp. 111-138
    • Ozturk, M.C.1    Xu, D.2    Principe, J.C.3
  • 14
    • 85162064555 scopus 로고    scopus 로고
    • On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing
    • B. Schrauwen, L. Busing, and R. Legenstein. On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing. In Proceedings of NIPS, 2008.
    • Proceedings of NIPS, 2008
    • Schrauwen, B.1    Busing, L.2    Legenstein, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.