메뉴 건너뛰기




Volumn , Issue , 2014, Pages 1205-1212

An effective criterion for pruning reservoir's connections in Echo State Networks

Author keywords

[No Author keywords available]

Indexed keywords

ECHO STATE NETWORKS; EFFECTIVE ALGORITHMS; OPTIMIZATION PROBLEMS; RECURRENT NEURAL NETWORK (RNNS); REDUNDANT CONNECTIONS; STANDARD PRACTICES; SYNTHETIC DATASETS;

EID: 84908474620     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2014.6889600     Document Type: Conference Paper
Times cited : (13)

References (21)
  • 1
    • 68649088777 scopus 로고    scopus 로고
    • Reservoir computing approaches to recurrent neural network training
    • Aug.
    • M. Lukoševičius and H. Jaeger, "Reservoir computing approaches to recurrent neural network training", Computer Science Review, vol. 3, no. 3, pp. 127-149, Aug. 2009.
    • (2009) Computer Science Review , vol.3 , Issue.3 , pp. 127-149
    • Lukoševičius, M.1    Jaeger, H.2
  • 2
    • 1842436050 scopus 로고    scopus 로고
    • The echo state approach to analysing and training recurrent neural networks
    • German National Research Center for Information Technology, Tech. Rep.
    • H. Jaeger, "The echo state approach to analysing and training recurrent neural networks", Technical Report GMD Report 148, German National Research Center for Information Technology, Tech. Rep., 2001.
    • (2001) Technical Report GMD Report 148
    • Jaeger, H.1
  • 5
    • 84865541331 scopus 로고    scopus 로고
    • Re-visiting the echo state property
    • I. B. Yildiz, H. Jaeger, and S. J. Kiebel, "Re-visiting the echo state property", Neural Networks, vol. 35, pp. 1-9, 2012.
    • (2012) Neural Networks , vol.35 , pp. 1-9
    • Yildiz, I.B.1    Jaeger, H.2    Kiebel, S.J.3
  • 7
    • 84871651156 scopus 로고    scopus 로고
    • Reservoir computing and extreme learning machines for non-linear time-series data analysis
    • Feb.
    • J. Butcher, D. Verstraeten, B. Schrauwen, C. Day, and P. Haycock, "Reservoir computing and extreme learning machines for non-linear time-series data analysis." Neural networks, vol. 38, pp. 76-89, Feb. 2013.
    • (2013) Neural Networks , vol.38 , pp. 76-89
    • Butcher, J.1    Verstraeten, D.2    Schrauwen, B.3    Day, C.4    Haycock, P.5
  • 8
    • 0028495332 scopus 로고
    • Pruning recurrent neural networks for improved generalization performance
    • Jan.
    • C. Omlin and C. Giles, "Pruning recurrent neural networks for improved generalization performance." IEEE transactions on neural networks, vol. 5, no. 5, pp. 848-51, Jan. 1994.
    • (1994) IEEE Transactions on Neural Networks , vol.5 , Issue.5 , pp. 848-851
    • Omlin, C.1    Giles, C.2
  • 10
    • 0032185582 scopus 로고    scopus 로고
    • Synaptic pruning in development: A computational account
    • Oct.
    • G. Chechik, I. Meilijson, and E. Ruppin, "Synaptic pruning in development: a computational account." Neural computation, vol. 10, no. 7, pp. 1759-77, Oct. 1998.
    • (1998) Neural Computation , vol.10 , Issue.7 , pp. 1759-1777
    • Chechik, G.1    Meilijson, I.2    Ruppin, E.3
  • 15
    • 11844272679 scopus 로고    scopus 로고
    • Dynamics of pruning in simulated large-scale spiking neural networks
    • J. Iglesias, J. Eriksson, F. Grize, M. Tomassini, and A. Villa, "Dynamics of pruning in simulated large-scale spiking neural networks." Biosystems, vol. 79, no. 1-3, pp. 11-20, 2005.
    • (2005) Biosystems , vol.79 , Issue.1-3 , pp. 11-20
    • Iglesias, J.1    Eriksson, J.2    Grize, F.3    Tomassini, M.4    Villa, A.5
  • 21
    • 0035193053 scopus 로고    scopus 로고
    • On the spectral radius of graphs with cut vertices
    • A. Berman and X.-D. Zhang, "On the spectral radius of graphs with cut vertices", Journal of Combinatorial Theory, Series B, vol. 83, no. 2, pp. 233-240, 2001.
    • (2001) Journal of Combinatorial Theory, Series B , vol.83 , Issue.2 , pp. 233-240
    • Berman, A.1    Zhang, X.-D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.