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Intelligent Control Based on Flexible Neural Networks Book

Intelligent Control Based on Flexible Neural Networks
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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 al, Intelligent Control Based on Flexible Neural Networks
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  • Intelligent Control Based on Flexible Neural Networks
  • Written by author Teshnehlab, M., Watanabe, K
  • Published by Springer-Verlag New York, LLC, 12/9/2010
  • 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 al
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Acknowledgements. Preface. 1. Introduction. 2. Fundamentals of Neural Networks. 3. Flexible Neural Networks. 4. Self-Tuning PID Control. 5. Self-Tuning Computed Torque Control: Part I. 6. Self-Tuning Computed Torque Control: Part II. 7. Development of an Inverse Dynamics Model. 8. Self-organizing Flexible Neural Network. 9. Conclusions.


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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 al, Intelligent Control Based on Flexible Neural Networks

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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 al, Intelligent Control Based on Flexible Neural Networks

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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 al, Intelligent Control Based on Flexible Neural Networks

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