Unified design of training and structure of feedforward neural networks using genetic algorithms, and Its applications 遺伝的アルゴリズムを用いる階層型ニューラルネットワークの学習と構造の統合設計とその応用に関する研究
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著者
書誌事項
- タイトル
-
Unified design of training and structure of feedforward neural networks using genetic algorithms, and Its applications
- タイトル別名
-
遺伝的アルゴリズムを用いる階層型ニューラルネットワークの学習と構造の統合設計とその応用に関する研究
- 著者名
-
Abdul Rahman Bohari
- 著者別名
-
アブデュル ラフマン ボハリ
- 学位授与大学
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名古屋工業大学
- 取得学位
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博士(工学)
- 学位授与番号
-
甲第260号
- 学位授与年月日
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1999-03-24
注記・抄録
博士論文
主査：舟橋 康行
目次
- Contents / p1 (0004.jp2)
- List of Figures / p4 (0006.jp2)
- List of Tables / p6 (0007.jp2)
- Chapter1 Introduction / p1 (0007.jp2)
- 1.1 Artificial Neural Networks / p2 (0008.jp2)
- 1.2 Genetic Algorithms / p4 (0009.jp2)
- 1.3 Objectives of the Thesis / p7 (0010.jp2)
- 1.4 Organization of the Thesis / p12 (0013.jp2)
- Chapter2 Review of Artificial Neural Networks / p14 (0014.jp2)
- 2.1 Introduction / p14 (0014.jp2)
- 2.2 Multilayer Feedforwad Neural Networks / p16 (0015.jp2)
- 2.3 The Training Algorithm of Backpropagation / p17 (0015.jp2)
- 2.4 Introducing Modified Error Signal / p20 (0017.jp2)
- 2.5 A Hybrid Training Algorithm / p21 (0017.jp2)
- Chapter3 Genetic Algorithms:An Overview / p25 (0019.jp2)
- 3.1 Introduction / p25 (0019.jp2)
- 3.2 Basic of Genetic Algorithms / p26 (0020.jp2)
- Chapter4 Estimating Particulate Loading in DPF Using Neural Network / p32 (0023.jp2)
- 4.1 Introduction / p32 (0023.jp2)
- 4.2 Outline of DPF System / p33 (0023.jp2)
- 4.3 Neural Network Modeling of DPF System / p34 (0024.jp2)
- 4.4 Experimental Settings,Results,and Evaluation / p36 (0025.jp2)
- 4.5 Conclusions / p45 (0029.jp2)
- Chapter5 An Integrated Method of Training and Structure Design of FFNNs Using Genetic Algorithms / p46 (0030.jp2)
- 5.1 Introduction / p46 (0030.jp2)
- 5.2 Proposed Evolutionary Training of FFNNs / p48 (0031.jp2)
- 5.3 Proposed Training and Structure Design Algorithm of FFNNs / p52 (0033.jp2)
- 5.4 Experimental Settings and Results / p55 (0034.jp2)
- 5.5 Discussions / p63 (0038.jp2)
- 5.6 Conclusions / p64 (0039.jp2)
- Chapter6 Estimating Particulate Loading in DPF Using the Integrated Method / p66 (0040.jp2)
- 6.1 Introduction / p66 (0040.jp2)
- 6.2 Neural Network Modeling of DPF System Using the Integrated Method / p67 (0040.jp2)
- 6.3 Experimental Settings / p72 (0043.jp2)
- 6.4 Experimental Results and Evaluation / p73 (0043.jp2)
- 6.5 Conclusions / p81 (0047.jp2)
- Chapter7 Summary / p82 (0048.jp2)
- Appendix / p86 (0050.jp2)
- References / p88 (0051.jp2)
- Acknowledgements / p92 (0053.jp2)