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Volumn , Issue , 2010, Pages 59-64

Reservoir regularization stabilizes learning of Echo State Networks with output feedback

Author keywords

[No Author keywords available]

Indexed keywords

ECHO STATE NETWORKS; ERROR AMPLIFICATION; OUTPUT FEEDBACK; PARAMETER DEPENDENCY; PARAMETERIZED; PATTERN GENERATION; REDUCTION OF ERRORS; RESERVOIR NETWORKS;

EID: 84887039818     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (9)
  • 1
    • 34249938474 scopus 로고    scopus 로고
    • Optimization and applications of echo state networks with leaky-integrator neurons
    • H. Jaeger, M. Lukosevicius, D. Popovici, and U. Siewert. Optimization and applications of echo state networks with leaky-integrator neurons. Neural Networks, 20 (3): 335-352, 2007.
    • (2007) Neural Networks , vol.20 , Issue.3 , pp. 335-352
    • Jaeger, H.1    Lukosevicius, M.2    Popovici, D.3    Siewert, U.4
  • 2
    • 58849145264 scopus 로고    scopus 로고
    • Stable output feedback in reservoir computing using ridge regression
    • F. wyffels, B. Schrauwen, and D. Stroobandt. Stable output feedback in reservoir computing using ridge regression. In ICANN, pages 808-817, 2008.
    • (2008) ICANN , pp. 808-817
    • Wyffels, F.1    Schrauwen, B.2    Stroobandt, D.3
  • 3
    • 70350555383 scopus 로고    scopus 로고
    • Design of a central pattern generator using reservoir computing for learning human motion
    • F. wyffels and B. Schrauwen. Design of a central pattern generator using reservoir computing for learning human motion. In ECSIS Symp. on LAB-RS, pages 118-122, 2009.
    • (2009) ECSIS Symp. On LAB-RS , pp. 118-122
    • Wyffels, F.1    Schrauwen, B.2
  • 4
    • 78649362432 scopus 로고    scopus 로고
    • Direct control of an active tactile sensor using echo state networks
    • Springer
    • A. F. Krause, B. Bläsing, V. Dürr, and T. Schack. Direct control of an active tactile sensor using echo state networks. In Human Centered Robot Systems, volume 6, pages 11-21. Springer, 2009.
    • (2009) Human Centered Robot Systems , vol.6 , pp. 11-21
    • Krause, A.F.1    Bläsing, B.2    Dürr, V.3    Schack, T.4
  • 5
    • 53849116116 scopus 로고    scopus 로고
    • Recurrent neural associative learning of forward and inverse kinematics for movement generation of the redundant PA-10 robot
    • R. F. Reinhart and J. J. Steil. Recurrent neural associative learning of forward and inverse kinematics for movement generation of the redundant PA-10 robot. In ECSIS Symp. on LAB-RS, pages 35-40, 2008.
    • (2008) ECSIS Symp. On LAB-RS , pp. 35-40
    • Reinhart, R.F.1    Steil, J.J.2
  • 6
    • 35548979931 scopus 로고    scopus 로고
    • Generative modeling of autonomous robots and their environments using reservoir computing
    • E. Antonelo, B. Schrauwen, and J. V. Campenhout. Generative modeling of autonomous robots and their environments using reservoir computing. Neural Processing Letters, 26 (3): 233-249, 2007.
    • (2007) Neural Processing Letters , vol.26 , Issue.3 , pp. 233-249
    • Antonelo, E.1    Schrauwen, B.2    Campenhout, J.V.3
  • 7
    • 68949147577 scopus 로고    scopus 로고
    • Generating coherent patterns of activity from chaotic neural networks
    • D. Sussillo and L. F. Abbott. Generating coherent patterns of activity from chaotic neural networks. Neuron, 63: 544-557, 2009.
    • (2009) Neuron , vol.63 , pp. 544-557
    • Sussillo, D.1    Abbott, L.F.2
  • 8
    • 84859722704 scopus 로고    scopus 로고
    • A constrained regularization approach for input-driven recurrent neural networks
    • DOI: 10.1007/s12591-010-0067-x
    • R. F. Reinhart and J. J. Steil. A constrained regularization approach for input-driven recurrent neural networks. Differ. Equ. Dyn. Syst. DOI: 10.1007/s12591-010-0067-x.
    • Differ. Equ. Dyn. Syst
    • Reinhart, R.F.1    Steil, J.J.2
  • 9
    • 79959341895 scopus 로고    scopus 로고
    • Reservoir self-control for achieving invariance against slow input distortions
    • Jacobs University, Oct
    • Herbert Jaeger. Reservoir self-control for achieving invariance against slow input distortions. Technical Report 23, Jacobs University, Oct. 2010.
    • (2010) Technical Report , vol.23
    • Jaeger, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.