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Intelligent Control Based on Flexible Neural Networks (Intelligent Systems, Control and Automation: Science and Engineering) - M. Teshnehlab, Watanabe Kyoko
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M. Teshnehlab, Watanabe Kyoko:
Intelligent Control Based on Flexible Neural Networks (Intelligent Systems, Control and Automation: Science and Engineering) - pocketboek

ISBN: 9048152070

Paperback, [EAN: 9789048152070], Springer, Springer, Book, [PU: Springer], Springer, References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57 Chapter 3 Flexible Neural Networks . . . . . . . . . . . . . . . . . . . . . . . . 61 3. 1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61 3. 2 Flexible Unipolar Sigmoid Functions . . . . . . . . . . . . . . . . . . . . . . . . . . 62 3. 3 Flexible Bipolar Sigmoid Functions . . . . . . . . . . . . . . . . . . . . . . . . . . . 64 3. 4 Learning Algorithms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 3. 4. 1 Generalized learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67 3. 4. 2 Specialized learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71 3. 5 Examples . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72 3. 6 Combinations of Flexible Artificial Neural Network Topologies . . . . 79 3. 7 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82 Chapter 4 Self-Tuning PID Control 85 4. 1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85 4. 2 PID Control . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87 4. 3 Flexible Neural Network as an Indirect Controller . . . . . . . . . . . . . . . 91 4. 4 Self-tunig PID Control . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93 4. 5 Simulation Examples . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94 4. 5. 1 The Tank model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94 4. 5. 2 Simulation study . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96 4. 5. 3 Simulation results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99 4. 6 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105 Chapter 5 Self-Tuning Computed Torque Control: Part I 107 5. 1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107 5. 2 Manipulator Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108 5. 3 Computed Torque Control . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110 5. 4 Self-tunig Computed Torque Control . . . . . . . . . . . . . . . . . . . . . . . . . 111 5. 5 Simulation Examples . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115 5. 5. 1 Simultaneous learning of connection weights and SF para- ters . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116 5. 5. 2 Learning of the sigmoid function parameters . . . . . . . . . . . . . 123 Vll 5. 5. 3 Simultaneous learning of SF parameters and output gains 129 5. 6 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135 Chapter 6 Self-Tuning Computed Torque Control: Part II 137 6. 1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137 6. 2 Simplification of Flexible Neural Networks . . . . . . . . . . . . . . . . . . . . 138 6. 3 Simulation Examples . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140 6. 3. 1 Simultaneous learning of connection weights and sigmoid function parameters . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ., 280291, Intelligence & Semantics, 3887, AI & Machine Learning, 3508, Computer Science, 5, Computers & Technology, 1000, Subjects, 283155, Books, 3896, Neural Networks, 3887, AI & Machine Learning, 3508, Computer Science, 5, Computers & Technology, 1000, Subjects, 283155, Books, 3727, Control Systems, 3723, Microprocessors & System Design, 549652, Hardware & DIY, 5, Computers & Technology, 1000, Subjects, 283155, Books, 227544, Electrical & Electronics, 13698, Circuits, 227545, Digital Design, 226994, Electric Machinery & Motors, 13707, Electronics, 13709, Fiber Optics, 3747, Networks, 13731, Superconductivity, 173515, Engineering, 173507, Engineering & Transportation, 1000, Subjects, 283155, Books, 13778, Mechanical, 13781, Drafting & Mechanical Drawing, 3074641, Fluid Dynamics, 13785, Fracture Mechanics, 13790, Hydraulics, 13792, Machinery, 13687, 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Intelligent Control Based on Flexible Neural Networks - M. Teshnehlab
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Intelligent Control Based on Flexible Neural Networks - nieuw boek

ISBN: 9789048152070

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The use of flexible sigmoid functions makes artificial neural networks more versatile. This volume determines learning algorithms for sigmoid functions in several different learning modes using flexible structures of neural networks with new derivation algorithms. The book is aimed at electrical, electronic, and mechanical control and systems engineers concerned with intelligent control who wish to explore neural network approaches. Here, for readers who are unfamiliar with neural network computing, is a concise introduction to the main existing types of flexible neural networks. This book will be a valuable aid to new research in which high abilities in artificial neural networks in intelligent control design and development can be achieved. M. Teshnehlab, Books, Science and Nature, Intelligent Control Based on Flexible Neural Networks Books>Science and Nature, Springer Netherlands

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Intelligent Control Based on Flexible Neural Networks als Buch von Watanabe Kyoko, M. Teshnehlab, Kyoko Watanabe - Springer Netherlands
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ISBN: 9789048152070

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Intelligent Control Based on Flexible Neural Networks ab 170.49 EURO Intelligent Systems, Control and Automation: Science and Engineering. Softcover reprint of hardcover 1st ed. 1999 Intelligent Control Based on Flexible Neural Networks ab 170.49 EURO Intelligent Systems, Control and Automation: Science and Engineering. Softcover reprint of hardcover 1st ed. 1999 Bücher > Wissenschaft > Technik

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Intelligent Control Based on Flexible Neural Networks als Buch von Watanabe Kyoko, M. Teshnehlab, Kyoko Watanabe - Watanabe Kyoko, M. Teshnehlab, Kyoko Watanabe
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Watanabe Kyoko, M. Teshnehlab, Kyoko Watanabe:
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Intelligent Control Based on Flexible Neural Networks - M. Teshnehlab; Watanabe Kyoko
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M. Teshnehlab; Watanabe Kyoko:
Intelligent Control Based on Flexible Neural Networks - nieuw boek

ISBN: 9789048152070

ID: 9789048152070

Engineering; Electrical Engineering; Mechanical Engineering; Artificial Intelligence (incl. Robotics) algorithms, artificial neural network, control, design, development, knowledge, learning, model, network, neural networks Books, Springer Nature

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Intelligent Control Based on Flexible Neural Networks

The use of flexible sigmoid functions makes artificial neural networks more versatile. This volume determines learning algorithms for sigmoid functions in several different learning modes using flexible structures of neural networks with new derivation algorithms. The book is aimed at electrical, electronic, and mechanical control and systems engineers concerned with intelligent control who wish to explore neural network approaches. Here, for readers who are unfamiliar with neural network computing, is a concise introduction to the main existing types of flexible neural networks. This book will be a valuable aid to new research in which high abilities in artificial neural networks in intelligent control design and development can be achieved.

Gedetalleerde informatie over het boek. - Intelligent Control Based on Flexible Neural Networks


EAN (ISBN-13): 9789048152070
ISBN (ISBN-10): 9048152070
Gebonden uitgave
pocket book
Verschijningsjaar: 2010
Uitgever: Springer-Verlag GmbH
252 Bladzijden
Gewicht: 0,386 kg
Taal: eng/Englisch

Boek bevindt zich in het datenbestand sinds 26.01.2012 19:19:44
Boek voor het laatst gevonden op 03.04.2018 09:41:44
ISBN/EAN: 9789048152070

ISBN - alternatieve schrijfwijzen:
90-481-5207-0, 978-90-481-5207-0


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