Subsymbolic knowledge extraction environment for a time-series prediction parallel neural network 時系列予測をおこなう並列ニューラルネットワークによる準記号的な知識抽出環境

Access this Article

Search this Article

Author

    • Alexandra Ioana Cristea アレクサンドラ イオアナ クリステア

Bibliographic Information

Title

Subsymbolic knowledge extraction environment for a time-series prediction parallel neural network

Other Title

時系列予測をおこなう並列ニューラルネットワークによる準記号的な知識抽出環境

Author

Alexandra Ioana Cristea

Author(Another name)

アレクサンドラ イオアナ クリステア

University

電気通信大学

Types of degree

博士(工学)

Grant ID

甲第166号

Degree year

1999-03-24

Note and Description

博士論文

Table of Contents

  1. アブストラクト / (0005.jp2)
  2. Contents / p1 (0008.jp2)
  3. 1 Introduction / p1 (0022.jp2)
  4. 1.1 The problem / p1 (0022.jp2)
  5. 1.2 The objectives and the meaning of the research / p2 (0023.jp2)
  6. 1.3 Contributions and Results obtained / p6 (0027.jp2)
  7. 1.4 Outline of the thesis / p7 (0028.jp2)
  8. 2 Artificial Neural Networks(ANNs) / p9 (0030.jp2)
  9. 2.1 What are Artificial Neural Networks? / p9 (0030.jp2)
  10. 2.2 A brief history of Artificial Neural Networks / p10 (0031.jp2)
  11. 2.3 A classification of ANN generations / p12 (0033.jp2)
  12. 2.4 Why Neural Networks? / p13 (0034.jp2)
  13. 2.5 The McCulloch and Pitt neuron / p14 (0035.jp2)
  14. 2.6 The perception / p16 (0037.jp2)
  15. 2.7 Learning / p18 (0039.jp2)
  16. 2.8 The Backpropagation algorithm / p20 (0041.jp2)
  17. 2.9 Radial Basis Function(RBF)neural networks / p24 (0045.jp2)
  18. 2.10 Other popular learning algorithms / p26 (0047.jp2)
  19. 2.11 Neural Network Architectures / p26 (0047.jp2)
  20. 2.12 Neural Networks as memories / p29 (0050.jp2)
  21. I Time Series(TS) / p33 (0054.jp2)
  22. 3 Time Series(TS):Theory Notes / p37 (0058.jp2)
  23. 4 Time-Series Prediction:Application / p57 (0078.jp2)
  24. II Parallel Neural Networks / p113 (0134.jp2)
  25. 5 Parallel Neural Networks:Theory Notes / p117 (0138.jp2)
  26. 6 Parallel ANN:Application / p139 (0160.jp2)
  27. 7 The Integration Network:Discussion / p169 (0190.jp2)
  28. III Knowledge Eliciting from Neural Networks / p173 (0194.jp2)
  29. 8 Knowledge Eliciting:Theory Notes / p177 (0198.jp2)
  30. 9 Knowledge Extraction:Application / p195 (0216.jp2)
  31. IV General Conclusions and Recommendations / p227 (0248.jp2)
  32. 10 Summary and Conclusions / p231 (0252.jp2)
  33. 11 Recommendations for further work / p235 (0256.jp2)
  34. REFERENCES / p237 (0258.jp2)
  35. Acknowledgements / p249 (0271.jp2)
  36. List of Publications Related to the Thesis / p251 (0273.jp2)
  37. Author's Biography / p254 (0276.jp2)
5access

Codes

  • NII Article ID (NAID)
    500000173293
  • NII Author ID (NRID)
    • 8000000173569
  • DOI(NDL)
  • NDLBibID
    • 000000337607
  • Source
    • NDL ONLINE
    • NDL Digital Collections

Export

Page Top