Neural Network Modeling and Identification of Dynamical Systems

Written By Yuri Tiumentsev
Neural Network Modeling and Identification of Dynamical Systems
  • Publsiher : Academic Press
  • Release : 17 May 2019
  • ISBN : 0128154306
  • Pages : 332 pages
  • Rating : 4/5 from 21 reviews
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Read or download book entitled Neural Network Modeling and Identification of Dynamical Systems written by Yuri Tiumentsev which was release on 17 May 2019, this book published by Academic Press. Available in PDF, EPUB and Kindle Format. Book excerpt: Neural Network Modeling and Identification of Dynamical Systems presents a new approach on how to obtain the adaptive neural network models for complex systems that are typically found in real-world applications. The book introduces the theoretical knowledge available for the modeled system into the purely empirical black box model, thereby converting the model to the gray box category. This approach significantly reduces the dimension of the resulting model and the required size of the training set. This book offers solutions for identifying controlled dynamical systems, as well as identifying characteristics of such systems, in particular, the aerodynamic characteristics of aircraft. Covers both types of dynamic neural networks (black box and gray box) including their structure, synthesis and training Offers application examples of dynamic neural network technologies, primarily related to aircraft Provides an overview of recent achievements and future needs in this area

Neural Network Modeling and Identification of Dynamical Systems

Neural Network Modeling and Identification of Dynamical Systems
  • Author : Yuri Tiumentsev,Mikhail Egorchev
  • Publisher : Academic Press
  • Release Date : 2019-05-17
  • Total pages : 332
  • ISBN : 0128154306
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Summary : Neural Network Modeling and Identification of Dynamical Systems presents a new approach on how to obtain the adaptive neural network models for complex systems that are typically found in real-world applications. The book introduces the theoretical knowledge available for the modeled system into the purely empirical black box model, thereby ...

Neural Networks in Robotics

Neural Networks in Robotics
  • Author : George A. Bekey,Kenneth Y. Goldberg
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-12-06
  • Total pages : 563
  • ISBN : 0128154306
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Summary : Neural Networks in Robotics is the first book to present an integrated view of both the application of artificial neural networks to robot control and the neuromuscular models from which robots were created. The behavior of biological systems provides both the inspiration and the challenge for robotics. The goal is ...

Neural Networks Modeling and Control

Neural Networks Modeling and Control
  • Author : Jorge D. Rios,Alma Y. Alanis,Nancy Arana-Daniel,Carlos Lopez-Franco
  • Publisher : Academic Press
  • Release Date : 2020-01-15
  • Total pages : 158
  • ISBN : 0128154306
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Summary : Neural Networks Modelling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time focuses on modeling and control of discrete-time unknown nonlinear delayed systems under uncertainties based on Artificial Neural Networks. First, a Recurrent High Order Neural Network (RHONN) is used to identify discrete-time unknown nonlinear delayed systems under ...

Advances in Logic Based Intelligent Systems

Advances in Logic Based Intelligent Systems
  • Author : Kazumi Nakamatsu,Jair Minoro Abe
  • Publisher : IOS Press
  • Release Date : 2005
  • Total pages : 289
  • ISBN : 0128154306
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Summary : LAPTEC2005 promoted the discussion and interaction between researchers and practitioners focused on both theoretical and practical disciplines concerning logics applied to technology, with diverse backgrounds including all kinds of intelligent systems having classical or non-classical logics as underlying common matters. It was the first time for LAPTEC to be held ...

Advances in Neural Computation Machine Learning and Cognitive Research III

Advances in Neural Computation  Machine Learning  and Cognitive Research III
  • Author : Boris Kryzhanovsky,Witali Dunin-Barkowski,Vladimir Redko,Yury Tiumentsev
  • Publisher : Springer Nature
  • Release Date : 2019-09-03
  • Total pages : 428
  • ISBN : 0128154306
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Summary : This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large scale neural models, brain computer interface, signal processing methods, as ...

High Dimensional Neurocomputing

High Dimensional Neurocomputing
  • Author : Bipin Kumar Tripathi
  • Publisher : Springer
  • Release Date : 2014-11-05
  • Total pages : 165
  • ISBN : 0128154306
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Summary : The book presents a coherent understanding of computational intelligence from the perspective of what is known as "intelligent computing" with high-dimensional parameters. It critically discusses the central issue of high-dimensional neurocomputing, such as quantitative representation of signals, extending the dimensionality of neuron, supervised and unsupervised learning and design of higher ...

Neural Network Systems Techniques and Applications

Neural Network Systems Techniques and Applications
  • Author : Anonim
  • Publisher : Academic Press
  • Release Date : 1998-02-09
  • Total pages : 438
  • ISBN : 0128154306
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Summary : 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 ...

Artificial Higher Order Neural Networks for Computer Science and Engineering Trends for Emerging Applications

Artificial Higher Order Neural Networks for Computer Science and Engineering  Trends for Emerging Applications
  • Author : Zhang, Ming
  • Publisher : IGI Global
  • Release Date : 2010-02-28
  • Total pages : 660
  • ISBN : 0128154306
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Summary : "This book introduces and explains Higher Order Neural Networks (HONNs) to people working in the fields of computer science and computer engineering, and how to use HONNS in these areas"--Provided by publisher....

Emerging Capabilities and Applications of Artificial Higher Order Neural Networks

Emerging Capabilities and Applications of Artificial Higher Order Neural Networks
  • Author : Zhang, Ming
  • Publisher : IGI Global
  • Release Date : 2021-02-05
  • Total pages : 540
  • ISBN : 0128154306
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Summary : Artificial neural network research is one of the new directions for new generation computers. Current research suggests that open box artificial higher order neural networks (HONNs) play an important role in this new direction. HONNs will challenge traditional artificial neural network products and change the research methodology that people are ...

Neural Networks and Soft Computing

Neural Networks and Soft Computing
  • Author : Leszek Rutkowski,Janusz Kacprzyk
  • Publisher : Springer Science & Business Media
  • Release Date : 2003-02-12
  • Total pages : 914
  • ISBN : 0128154306
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Summary : This volume presents new trends and developments in soft computing techniques. Topics include: neural networks, fuzzy systems, evolutionary computation, knowledge discovery, rough sets, and hybrid methods. It also covers various applications of soft computing techniques in economics, mechanics, medicine, automatics and image processing. The book contains contributions from internationally recognized ...

Signal Processing for Mobile Communications Handbook

Signal Processing for Mobile Communications Handbook
  • Author : Mohamed Ibnkahla
  • Publisher : CRC Press
  • Release Date : 2004-08-16
  • Total pages : 872
  • ISBN : 0128154306
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Summary : In recent years, a wealth of research has emerged addressing various aspects of mobile communications signal processing. New applications and services are continually arising, and future mobile communications offer new opportunities and exciting challenges for signal processing. The Signal Processing for Mobile Communications Handbook provi...

Artificial Higher Order Neural Networks for Modeling and Simulation

Artificial Higher Order Neural Networks for Modeling and Simulation
  • Author : Zhang, Ming
  • Publisher : IGI Global
  • Release Date : 2012-10-31
  • Total pages : 454
  • ISBN : 0128154306
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Summary : "This book introduces Higher Order Neural Networks (HONNs) to computer scientists and computer engineers as an open box neural networks tool when compared to traditional artificial neural networks"--Provided by publisher....

Computer Aided Systems Theory EUROCAST 95

Computer Aided Systems Theory   EUROCAST  95
  • Author : International Workshop on Computer Aided Systems Theory 1995 innsbruc,Franz Pichler,Roberto Moreno-Diaz
  • Publisher : Springer Science & Business Media
  • Release Date : 1996-01-24
  • Total pages : 538
  • ISBN : 0128154306
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Summary : This book presents a collection of revised refereed papers selected from the contributions to the Fifth International Workshop on Computer Aided Systems Theory, EUROCAST '95, held in Innsbruck, Austria in May 1995. The 42 full papers contained have been contributed by CAST theoreticians, tool-makers, designers, and appliers and reflect the full spectrum ...

Soft Computing in Communications

Soft Computing in Communications
  • Author : Lipo Wang
  • Publisher : Springer
  • Release Date : 2013-06-05
  • Total pages : 408
  • ISBN : 0128154306
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Summary : Soft computing, as opposed to conventional "hard" computing, tolerates imprecision and uncertainty, in a way very much similar to the human mind. Soft computing techniques include neural networks, evolutionary computation, fuzzy logic, and chaos. The recent years have witnessed tremendous success of these powerful methods in virtually all areas of ...

Issues in Artificial Intelligence Robotics and Machine Learning 2011 Edition

Issues in Artificial Intelligence  Robotics and Machine Learning  2011 Edition
  • Author : Anonim
  • Publisher : ScholarlyEditions
  • Release Date : 2012-01-09
  • Total pages : 1134
  • ISBN : 0128154306
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Summary : Issues in Artificial Intelligence, Robotics and Machine Learning: 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Artificial Intelligence, Robotics and Machine Learning. The editors have built Issues in Artificial Intelligence, Robotics and Machine Learning: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect ...