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Volumn 6444 LNCS, Issue PART 2, 2010, Pages 209-216

ESNs with one dimensional topography

Author keywords

recurrent neural networks; Reservoir computing; topographic maps

Indexed keywords

CONNECTION STRENGTH; OUTPUT LAYER; OVERALL DESIGN; RESERVOIR COMPUTING; RIDGE REGRESSION; TEST ERRORS; TOPOGRAPHIC MAP;

EID: 78650218901     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-17534-3_26     Document Type: Conference Paper
Times cited : (3)

References (8)
  • 2
    • 34548609011 scopus 로고    scopus 로고
    • Collective behavior of a small-world recurrent neural system with scale-free distribution
    • DOI 10.1109/TNN.2007.894082
    • Deng, Z., Zhang, Y.: Collective behavior of a small-world recurrent neural system with scal-free distribution. IEEE Transactions on Neural Networks 18, 1364-1375 (2007) (Pubitemid 47408538)
    • (2007) IEEE Transactions on Neural Networks , vol.18 , Issue.5 , pp. 1364-1375
    • Deng, Z.1    Zhang, Y.2
  • 4
    • 3042558581 scopus 로고    scopus 로고
    • The 'echo state' approach to analysing and training recurrent neural networks
    • GMD German National Research Insitute for Computer Science
    • Jaeger, H.: The 'echo state' approach to analysing and training recurrent neural networks. In: GMD Report 148, GMD German National Research Insitute for Computer Science (2001)
    • (2001) GMD Report , vol.148
    • Jaeger, H.1
  • 5
    • 0003410791 scopus 로고    scopus 로고
    • 3rd edn. Springer Series in Information Sciences, Springer, Heidelberg
    • Kohonen, T.: Self-Organizing Maps, 3rd edn. Springer Series in Information Sciences, vol. 30. Springer, Heidelberg (2001)
    • (2001) Self-Organizing Maps , vol.30
    • Kohonen, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.