Neural Network Systems Techniques And Applications
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Fuzzy Logic and Expert Systems Applications
Author | : Cornelius T. Leondes |
Publsiher | : Elsevier |
Total Pages | : 437 |
Release | : 1998-02-09 |
Genre | : Computers |
ISBN | : 9780080553191 |
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This volume covers the integration of fuzzy logic and expert systems. A vital resource in the field, it includes techniques for applying fuzzy systems to neural networks for modeling and control, systematic design procedures for realizing fuzzy neural systems, techniques for the design of rule-based expert systems using the massively parallel processing capabilities of neural networks, the transformation of neural systems into rule-based expert systems, the characteristics and relative merits of integrating fuzzy sets, neural networks, genetic algorithms, and rough sets, and applications to system identification and control as well as nonparametric, nonlinear estimation. Practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as computer scientists and engineers will appreciate this reference source to diverse application methodologies. Fuzzy system techniques applied to neural networks for modeling and control Systematic design procedures for realizing fuzzy neural systems Techniques for the design of rule-based expert systems Characteristics and relative merits of integrating fuzzy sets, neural networks, genetic algorithms, and rough sets System identification and control Nonparametric, nonlinear estimation Practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as computer scientists and engineers will find this volume a unique and comprehensive reference to these diverse application methodologies
Control and Dynamic Systems
Author | : Anonim |
Publsiher | : Unknown |
Total Pages | : 448 |
Release | : 1967 |
Genre | : Automatic control |
ISBN | : STANFORD:36105007198406 |
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Neural Network Systems Techniques and Applications
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Author | : Cornelius T. Leondes |
Publsiher | : Unknown |
Total Pages | : 135 |
Release | : 1998 |
Genre | : Neural networks (Computer science) |
ISBN | : LCCN:97080441 |
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Application of Signal Processing Tools and Artificial Neural Network in Diagnosis of Power System Faults
Author | : Nabamita Banerjee Roy,Kesab Bhattacharya |
Publsiher | : CRC Press |
Total Pages | : 144 |
Release | : 2021-07-21 |
Genre | : Technology & Engineering |
ISBN | : 9781000414905 |
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Explores methods of fault identification through programming and simulation in MATLAB Examines signal processing tools and their applications with examples Provides knowledge of artificial neural networks and their applications with illustrations Uses PNN and BPNN to identify the different types of faults and obtain their corresponding locations Discusses the programming of signal processing using Wavelet Transform and S-Transform
Neural Networks in Business
Author | : Kate A. Smith,Jatinder N. D. Gupta |
Publsiher | : IGI Global |
Total Pages | : 274 |
Release | : 2003-01-01 |
Genre | : Computers |
ISBN | : 1931777799 |
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"For professionals, students, and academics interested in applying neural networks to a variety of business applications, this reference book introduces the three most common neural network models and how they work. A wide range of business applications and a series of global case studies are presented to illustrate the neural network models provided. Each model or technique is discussed in detail and used to solve a business problem such as managing direct marketing, calculating foreign exchange rates, and improving cash flow forecasting."
Neural Network Applications in Control
Author | : George William Irwin,K. Warwick,Kenneth J. Hunt |
Publsiher | : IET |
Total Pages | : 320 |
Release | : 1995 |
Genre | : Computers |
ISBN | : 0852968523 |
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The aim is to present an introduction to, and an overview of, the present state of neural network research and development, with an emphasis on control systems application studies. The book is useful to a range of levels of reader. The earlier chapters introduce the more popular networks and the fundamental control principles, these are followed by a series of application studies, most of which are industrially based, and the book concludes with a consideration of some recent research.
Application of Neural Networks and Other Learning Technologies in Process Engineering
Author | : I M Mujtaba,M A Hussain |
Publsiher | : World Scientific |
Total Pages | : 424 |
Release | : 2001-04-02 |
Genre | : Computers |
ISBN | : 9781783261482 |
Download Application of Neural Networks and Other Learning Technologies in Process Engineering Book in PDF, Epub and Kindle
This book is a follow-up to the IChemE symposium on “Neural Networks and Other Learning Technologies”, held at Imperial College, UK, in May 1999. The interest shown by the participants, especially those from the industry, has been instrumental in producing the book. The papers have been written by contributors of the symposium and experts in this field from around the world. They present all the important aspects of neural network utilisation as well as show the versatility of neural networks in various aspects of process engineering problems — modelling, estimation, control, optimisation and industrial applications. Contents:Modelling and IdentificationHybrid SchemesEstimations and ControlNew Learning TechnologiesExperimental and Industrial Applications Readership: Academic and industrial researchers, chemical engineers and control engineers. Keywords:Modelling;Hybrid Schemes;Technologies;Industrial Applications
Neural Network Systems Techniques and Applications
Author | : Anonim |
Publsiher | : Academic Press |
Total Pages | : 459 |
Release | : 1998-02-09 |
Genre | : Computers |
ISBN | : 9780080553900 |
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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