遅延層を持つ人工神経回路網の系列連想能力の研究

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著者

    • 金, 応洙 キム, ウンスウ

書誌事項

タイトル

遅延層を持つ人工神経回路網の系列連想能力の研究

著者名

金, 応洙

著者別名

キム, ウンスウ

学位授与大学

東北大学

取得学位

博士 (工学)

学位授与番号

甲第4823号

学位授与年月日

1993-03-25

注記・抄録

博士論文

目次

  1. Contents / p1 (0004.jp2)
  2. 1 Foundations of neural network / p3 (0005.jp2)
  3. 1.1 The neuron and its model / p3 (0005.jp2)
  4. 1.2 Information processing using the neural netwok / p7 (0007.jp2)
  5. 1.3 A brief history of associative neural network models / p10 (0008.jp2)
  6. 2 Associative memory and its statistical neurodynamics / p13 (0010.jp2)
  7. 2.1 Associative memory / p13 (0010.jp2)
  8. 2.2 Associative memory model and its dynamics / p15 (0011.jp2)
  9. 2.3 Recall dynamics of associative memory and evaluation for the distribution of the nosie term / p19 (0013.jp2)
  10. 3 Associative neural network model with multi-delayed synapses / p23 (0015.jp2)
  11. 3.1 Introduction / p23 (0015.jp2)
  12. 3.2 Definition of the model, direction cosine and capacity / p25 (0016.jp2)
  13. 3.3 Dynamic recall / p28 (0018.jp2)
  14. 3.4 Dynamic recall:The level-2 approximation / p37 (0022.jp2)
  15. 3.5 Discussion on the relation between theory and simulation / p41 (0024.jp2)
  16. 3.6 Summary / p45 (0026.jp2)
  17. 4 Relation between various weight strength and association capability of the associative network with multi-delayed synapses / p46 (0027.jp2)
  18. 4.1 Associative neural network model with varied weight strength from multi delay layers / p46 (0027.jp2)
  19. 4.2 Dynamics of a sequential associative neural network model with arbitrary connectivity from multi delay layers / p57 (0032.jp2)
  20. 5 Fractal neural network as an associative memory with sparse coding and low firing rates / p64 (0036.jp2)
  21. 5.1 Introduction / p64 (0036.jp2)
  22. 5.2 The model / p66 (0037.jp2)
  23. 5.3 Test patterns / p69 (0038.jp2)
  24. 5.4 Theoretical analysis / p71 (0039.jp2)
  25. 5.5 Numerical simulations / p75 (0041.jp2)
  26. 5.6 Discussion / p77 (0042.jp2)
  27. 5.7 Associative memory in fractal neural network with multi-delayed synapses / p83 (0045.jp2)
  28. 6 Conclusion / p89 (0048.jp2)
  29. A Derivation of the level-2 theoretical equation / p105 (0056.jp2)
  30. B Derivation of the theoretical equation for varied weight strengths / p113 (0060.jp2)
  31. C Retrieval characteristics of randomly connected network for the arbitrary pattern / p121 (0064.jp2)
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各種コード

  • NII論文ID(NAID)
    500000095379
  • NII著者ID(NRID)
    • 8000000095605
  • DOI(NDL)
  • NDL書誌ID
    • 000000259693
  • データ提供元
    • NDL-OPAC
    • NDLデジタルコレクション
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