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Volumn , Issue , 2010, Pages 63-71

Evolutionary optimization of echo state networks: Multiple motor pattern learning

Author keywords

[No Author keywords available]

Indexed keywords

ECHO STATE NETWORKS; EVOLUTIONARY OPTIMIZATIONS; HIERARCHICAL OPTIMIZATION; LEARNED PATTERNS; MULTIPLE MOTOR; NETWORK SIZE; PATTERN LEARNING; SPECIAL CLASS; WEIGHT OPTIMIZATION;

EID: 78649375177     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (14)
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    • Self-organization of distributedly represented multiple behavior schemata in a mirror system: Reviews of robot experiments using rnnpb
    • Tani, J., Itob, M., Sugitaa, Y.: Self-organization of distributedly represented multiple behavior schemata in a mirror system: reviews of robot experiments using rnnpb. Neural Networks 17 (2004) 1273 - 1289
    • (2004) Neural Networks , vol.17 , pp. 1273-1289
    • Tani, J.1    Itob, M.2    Sugitaa, Y.3
  • 2
    • 0035487297 scopus 로고    scopus 로고
    • Mosaic model for sensorimotor learning and control
    • Haruno, M., Wolpert, D. M., Kawato, M.: Mosaic model for sensorimotor learning and control. Neural Computation 13(10) (2001) 2201-2220
    • (2001) Neural Computation , vol.13 , Issue.10 , pp. 2201-2220
    • Haruno, M.1    Wolpert, D.M.2    Kawato, M.3
  • 3
    • 57149090913 scopus 로고    scopus 로고
    • Emergence of functional hierarchy in a multiple timescale neural network model: A humanoid robot experiment
    • Yamashita, Y., Tani, J.: Emergence of functional hierarchy in a multiple timescale neural network model: A humanoid robot experiment. PLoS Computational Biology 4(11) (2008)
    • (2008) PLoS Computational Biology , vol.4 , Issue.11
    • Yamashita, Y.1    Tani, J.2
  • 4
    • 0025503558 scopus 로고
    • Backpropagation through time: What it does and how to do it
    • Werbos, P.: Backpropagation through time: what it does and how to do it. In: Proceedings of the IEEE. Volume 78(10). (1990) 1550-1560
    • (1990) Proceedings of the IEEE , vol.78 , Issue.10 , pp. 1550-1560
    • Werbos, P.1
  • 5
    • 1842421269 scopus 로고    scopus 로고
    • Harnessing nonlinearity: Predicting chaotic systems and saving energy in wireless communication
    • Jager, H., Haas, H.: Harnessing nonlinearity: Predicting chaotic systems and saving energy in wireless communication. Science 304 (2004) 78 - 80
    • (2004) Science , vol.304 , pp. 78-80
    • Jager, H.1    Haas, H.2
  • 6
    • 33749833931 scopus 로고    scopus 로고
    • Tutorial on training recurrent neural networks, covering bppt, rtrl, ekf and the '"echo state network'" approach
    • German National Research Center for Information Technology
    • Jaeger, H.: Tutorial on training recurrent neural networks, covering bppt, rtrl, ekf and the '"echo state network'" approach. Technical Report GMD Report 159, German National Research Center for Information Technology (2002)
    • (2002) Technical Report GMD Report , vol.159
    • Jaeger, H.1
  • 8
    • 34249938474 scopus 로고    scopus 로고
    • Optimization and applications of echo state networks with leaky integrator neurons
    • Jaeger, H., Lukosevicius, M., Popovici, D., Siewert, U.: Optimization and applications of echo state networks with leaky integrator neurons. Neural Networks 20(3) (2007) 335-352
    • (2007) Neural Networks , vol.20 , Issue.3 , pp. 335-352
    • Jaeger, H.1    Lukosevicius, M.2    Popovici, D.3    Siewert, U.4
  • 10
    • 0001202597 scopus 로고
    • Learning state space trajectories in recurrent neural networks
    • Pearlmutter, B. A.: Learning state space trajectories in recurrent neural networks. Neural Computation 1 (1989)263-269
    • (1989) Neural Computation , vol.1 , pp. 263-269
    • Pearlmutter, B.A.1
  • 12
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    • Self-adaptive multimethod search for global optimization in real-parameter spaces
    • IEEE Transactions on
    • Vrugt, J. A., Robinson, B. A., Hyman, J. M.: Self-adaptive multimethod search for global optimization in real-parameter spaces. Evolutionary Computation, IEEE Transactions on 13(2) (2008) 243-259
    • (2008) Evolutionary Computation , vol.13 , Issue.2 , pp. 243-259
    • Vrugt, J.A.1    Robinson, B.A.2    Hyman, J.M.3
  • 14
    • 78649380774 scopus 로고    scopus 로고
    • Generating exponentially many periodic attractors with linearly growing echo state networks
    • IUB
    • Jäger, H.: Generating exponentially many periodic attractors with linearly growing echo state networks. technical report 3, IUB (2006)
    • (2006) Technical Report , vol.3
    • Jäger, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.