Image processing and pattern association based on supervised learning in neural network ニューラルネットワークに於ける教師付き学習法に基づく画像処理と連想記憶

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著者

    • 張, 偉 チァン, ウェイ

書誌事項

タイトル

Image processing and pattern association based on supervised learning in neural network

タイトル別名

ニューラルネットワークに於ける教師付き学習法に基づく画像処理と連想記憶

著者名

張, 偉

著者別名

チァン, ウェイ

学位授与大学

大阪大学

取得学位

工学博士

学位授与番号

甲第4351号

学位授与年月日

1991-03-26

注記・抄録

博士論文

09745

博士(工学)

1991-03-26

大阪大学

14401甲第04351号

目次

  1. Contents / (0006.jp2)
  2. Preface / (0004.jp2)
  3. Acknowledgements / (0005.jp2)
  4. CHAPTER 1 GENERAL INTRODUCTION / p1 (0009.jp2)
  5. 1.1 Introduction / p1 (0009.jp2)
  6. 1.2 General Framework for Neural Network / p4 (0011.jp2)
  7. 1.3 What Follows... / p10 (0014.jp2)
  8. CHAPTER 2 LEANING IN FEEDFORWARD MODEL WITH LOCAL SPACE-INVARIANT INTERCONNECTIONS / p13 (0015.jp2)
  9. 2.1 Introduction / p13 (0015.jp2)
  10. 2.2 Feedforward Model With Local Space-Invariant Interconnections (FELSI model) / p15 (0016.jp2)
  11. 2.3 Learning in the FELSI Model / p17 (0017.jp2)
  12. 2.4 Discussion and Conclusion / p20 (0019.jp2)
  13. CHAPTER 3 IMAGE PROCESSING BASED ON LEARNING IN THE FELSI MODEL / p22 (0020.jp2)
  14. 3.1 Introduction / p22 (0020.jp2)
  15. 3.2 Model for Cell's boundary Detection / p24 (0021.jp2)
  16. 3.3 Experimental Results / p26 (0022.jp2)
  17. 3.4 Internal Representation and Structure Function of the FELSI Model for Image Processing / p32 (0025.jp2)
  18. 3.5 Discussion and Conclusion / p39 (0028.jp2)
  19. Appendix A: M³F Operator / p40 (0029.jp2)
  20. Appendix B: Ridge-Finding Processing / p40 (0029.jp2)
  21. CHAPTER 4 PATTERN CLASSIFICATION USING THE FELSI MODEL / p42 (0030.jp2)
  22. 4.1. Introduction / p42 (0030.jp2)
  23. 4.2 Learning for Pattern Classification in the FELSI Model / p42 (0030.jp2)
  24. 4.3 Simulation Results / p44 (0031.jp2)
  25. 4.4 Architecture for Optical Implementation of the FELSI Model / p53 (0035.jp2)
  26. 4.5 Discussion and Conclusion / p57 (0037.jp2)
  27. CHAPTER 5 LEARNING GENERALIZATION / p58 (0038.jp2)
  28. 5.1 Introduction / p58 (0038.jp2)
  29. 5.2 Generalization by Entropy Minimizing / p60 (0039.jp2)
  30. 5.3 Simplified Learning Algorithm / p63 (0040.jp2)
  31. 5.4 Simulation Results / p64 (0041.jp2)
  32. 5.5 Discussion and Conclusion / p69 (0043.jp2)
  33. CHAPTER 6 BIPOLAR ANALOG OPTICAL ASSOCIATIVE MEMORY (AM) OF HOPFIELD MODEL / p71 (0044.jp2)
  34. 6.1 Introduction / p71 (0044.jp2)
  35. 6.2 AM based on the Hopfield Model / p74 (0046.jp2)
  36. 6.3 Performance Comparison of Different Type AMs / p75 (0046.jp2)
  37. 6.4 Optoelectronic Implementation of Bipolar Analog AM of Hopfield Model / p77 (0047.jp2)
  38. 6.5 Discussion and Conclusion / p83 (0050.jp2)
  39. CHAPTER 7 OPTIMIZING BASED ON THE HOPFIELD MODEL WITH MULTIVALUED NEURONS (HMN) / p85 (0051.jp2)
  40. 7.1 Introduction / p85 (0051.jp2)
  41. 7.2 Number Representation in the Hopfiled Model / p86 (0052.jp2)
  42. 7.3 Hopfield Model With Multistate Neurons (HMN model) / p88 (0053.jp2)
  43. 7.4 Applications of the HMN Model / p92 (0055.jp2)
  44. 7.5 Comparing With the Linear Model / p99 (0058.jp2)
  45. 7.6 Optoelectronic Architecture for Implementation of the HMN Model / p101 (0059.jp2)
  46. 7.7 Discussion and Conclusion / p103 (0060.jp2)
  47. CHAPTER 8 CONCLUSION / p104 (0061.jp2)
  48. References / p108 (0063.jp2)
  49. List of Publications by the Author / p115 (0066.jp2)
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各種コード

  • NII論文ID(NAID)
    500000075786
  • NII著者ID(NRID)
    • 8000000075986
  • DOI(NDL)
  • NDL書誌ID
    • 000000240100
  • データ提供元
    • 機関リポジトリ
    • NDL-OPAC
    • NDLデジタルコレクション
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