Neural Network Systems Techniques and Applications

Advances in Theory and Applications

Nonfiction, Computers, Advanced Computing, Engineering, Neural Networks, Artificial Intelligence, Science & Nature, Technology
Cover of the book Neural Network Systems Techniques and Applications by Cornelius T. Leondes, Elsevier Science
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Author: Cornelius T. Leondes ISBN: 9780080553900
Publisher: Elsevier Science Publication: February 9, 1998
Imprint: Academic Press Language: English
Author: Cornelius T. Leondes
ISBN: 9780080553900
Publisher: Elsevier Science
Publication: February 9, 1998
Imprint: Academic Press
Language: English

The book emphasizes neural network structures for achieving practical and effective systems, and provides many examples. Practitioners, researchers, and students in industrial, manufacturing, electrical, mechanical,and production engineering will find this volume a unique and comprehensive reference source for diverse application methodologies.

Control and Dynamic Systems covers the important topics of highly effective Orthogonal Activation Function Based Neural Network System Architecture, multi-layer recurrent neural networks for synthesizing and implementing real-time linear control,adaptive control of unknown nonlinear dynamical systems, Optimal Tracking Neural Controller techniques, a consideration of unified approximation theory and applications, techniques for the determination of multi-variable nonlinear model structures for dynamic systems with a detailed treatment of relevant system model input determination, High Order Neural Networks and Recurrent High Order Neural Networks, High Order Moment Neural Array Systems, Online Learning Neural Network controllers, and Radial Bias Function techniques.

Coverage includes:

  • Orthogonal Activation Function Based Neural Network System Architecture (OAFNN)
  • Multilayer recurrent neural networks for synthesizing and implementing real-time linear control
  • Adaptive control of unknown nonlinear dynamical systems
  • Optimal Tracking Neural Controller techniques
  • Consideration of unified approximation theory and applications
  • Techniques for determining multivariable nonlinear model structures for dynamic systems, with a detailed treatment of relevant system model input determination
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

The book emphasizes neural network structures for achieving practical and effective systems, and provides many examples. Practitioners, researchers, and students in industrial, manufacturing, electrical, mechanical,and production engineering will find this volume a unique and comprehensive reference source for diverse application methodologies.

Control and Dynamic Systems covers the important topics of highly effective Orthogonal Activation Function Based Neural Network System Architecture, multi-layer recurrent neural networks for synthesizing and implementing real-time linear control,adaptive control of unknown nonlinear dynamical systems, Optimal Tracking Neural Controller techniques, a consideration of unified approximation theory and applications, techniques for the determination of multi-variable nonlinear model structures for dynamic systems with a detailed treatment of relevant system model input determination, High Order Neural Networks and Recurrent High Order Neural Networks, High Order Moment Neural Array Systems, Online Learning Neural Network controllers, and Radial Bias Function techniques.

Coverage includes:

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