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- Fuzzy Neural Networks for Real Time Control Applications
- Author : Erdal Kayacan
- Publsiher : Butterworth-Heinemann
- Release : 17 September 2015
- ISBN : 9780128026878
- Pages : 264 pages
- Rating : /5 from reviews
GET THIS BOOKFuzzy Neural Networks for Real Time Control Applications
Download or read book entitled Fuzzy Neural Networks for Real Time Control Applications by author: Erdal Kayacan which was release on 17 September 2015 and published by Butterworth-Heinemann with total page 264 pages . This book available in PDF, EPUB and Kindle Format. AN INDISPENSABLE RESOURCE FOR ALL THOSE WHO DESIGN AND IMPLEMENT TYPE-1 AND TYPE-2 FUZZY NEURAL NETWORKS IN REAL TIME SYSTEMS Delve into the type-2 fuzzy logic systems and become engrossed in the parameter update algorithms for type-1 and type-2 fuzzy neural networks and their stability analysis with this book! Not only does this book stand apart from others in its focus but also in its application-based presentation style. Prepared in a way that can be easily understood by those who are experienced and inexperienced in this field. Readers can benefit from the computer source codes for both identification and control purposes which are given at the end of the book. A clear and an in-depth examination has been made of all the necessary mathematical foundations, type-1 and type-2 fuzzy neural network structures and their learning algorithms as well as their stability analysis. You will find that each chapter is devoted to a different learning algorithm for the tuning of type-1 and type-2 fuzzy neural networks; some of which are: . Gradient descent . Levenberg-Marquardt . Extended Kalman filter In addition to the aforementioned conventional learning methods above, number of novel sliding mode control theory-based learning algorithms, which are simpler and have closed forms, and their stability analysis have been proposed. Furthermore, hybrid methods consisting of particle swarm optimization and sliding mode control theory-based algorithms have also been introduced. The potential readers of this book are expected to be the undergraduate and graduate students, engineers, mathematicians and computer scientists. Not only can this book be used as a reference source for a scientist who is interested in fuzzy neural networks and their real-time implementations but also as a course book of fuzzy neural networks or artificial intelligence in master or doctorate university studies. We hope that this book will serve its main purpose successfully. Parameter update algorithms for type-1 and type-2 fuzzy neural networks and their stability analysis Contains algorithms that are applicable to real time systems Introduces fast and simple adaptation rules for type-1 and type-2 fuzzy neural networks Number of case studies both in identification and control Provides MATLAB® codes for some algorithms in the book
- Author : Erdal Kayacan,Mojtaba Ahmadieh Khanesar
- Publisher : Butterworth-Heinemann
- Release Date : 2015-09-17
- Total pages : 264
- ISBN : 9780128026878
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Summary : AN INDISPENSABLE RESOURCE FOR ALL THOSE WHO DESIGN AND IMPLEMENT TYPE-1 AND TYPE-2 FUZZY NEURAL NETWORKS IN REAL TIME SYSTEMS Delve into the type-2 fuzzy logic systems and become engrossed in the parameter update algorithms for type-1 and type-2 fuzzy neural networks and their stability analysis with this book! Not ...
- Author : Erdal Kayacan,Mojtaba Ahmadieh Khanesar
- Publisher : Butterworth-Heinemann
- Release Date : 2015-10-07
- Total pages : 264
- ISBN : 9780128026878
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Summary : AN INDISPENSABLE RESOURCE FOR ALL THOSE WHO DESIGN AND IMPLEMENT TYPE-1 AND TYPE-2 FUZZY NEURAL NETWORKS IN REAL TIME SYSTEMS Delve into the type-2 fuzzy logic systems and become engrossed in the parameter update algorithms for type-1 and type-2 fuzzy neural networks and their stability analysis with this book! Not ...
- Author : Institution of Electrical Engineers
- Publisher : IET
- Release Date : 1995
- Total pages : 295
- ISBN : 9780128026878
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Summary : Introducing a wide variety of network types, including Kohenen nets, n-tuple nets and radial basis function networks as well as the more useful multilayer perception back-propagation networks, this book aims to give a detailed appreciation of the use of neural nets in these applications....
- Author : Krzysztof Cpałka
- Publisher : Springer
- Release Date : 2017-01-31
- Total pages : 196
- ISBN : 9780128026878
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Summary : This book shows that the term “interpretability” goes far beyond the concept of readability of a fuzzy set and fuzzy rules. It focuses on novel and precise operators of aggregation, inference, and defuzzification leading to flexible Mamdani-type and logical-type systems that can achieve the required accuracy using a less complex ...
- Author : Guang Chen,Pascual Campoy,Changhong Fu,Caixia Cai
- Publisher : Frontiers Media SA
- Release Date : 2020-09-02
- Total pages : 212
- ISBN : 9780128026878
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Summary : Read online New Advances at the Intersection of Brain Inspired Learning and Deep Learning in Autonomous Vehicles and Robotics written by Guang Chen,Pascual Campoy,Changhong Fu,Caixia Cai, published by Frontiers Media SA which was released on 2020-09-02. Download full New Advances at the Intersection of Brain Inspired ...
- Author : Alexei V. Samsonovich
- Publisher : Springer
- Release Date : 2018-08-23
- Total pages : 362
- ISBN : 9780128026878
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Summary : The book focuses on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disciplines, from classical artificial intelligence to linguistics, from neuro- and social sciences to design and creativity, among others. The chapters, based on contributions presented at the Ninth Annual Meeting of ...
- Author : Ralph Baker Kearfott,Ildar Batyrshin,Marek Reformat,Martine Ceberio,Vladik Kreinovich
- Publisher : Springer
- Release Date : 2019-06-10
- Total pages : 823
- ISBN : 9780128026878
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Summary : This book describes the latest findings related to fuzzy techniques, discussing applications in control, economics, education, humor studies, industrial engineering, linguistics, management, marketing, medicine and public health, military engineering, robotics, ship design, sports, transportation, and many other areas. It also presents recent fuzzy-related algorithms and theoretical results that can be ...
- Author : Valentina Emilia Balas,Lakhmi C. Jain,Marius Mircea Balas,Shahnaz N. Shahbazova
- Publisher : Springer Nature
- Release Date : 2020-08-17
- Total pages : 480
- ISBN : 9780128026878
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Summary : This book presents the proceedings of the 8th International Workshop on Soft Computing Applications, SOFA 2018, held on 13–15 September 2018 in Arad, Romania. The workshop was organized by Aurel Vlaicu University of Arad, in conjunction with the Institute of Computer Science, Iasi Branch of the Romanian Academy, IEEE Romanian Section, Romanian Society ...
- Author : Jerry M. Mendel
- Publisher : Springer
- Release Date : 2017-05-17
- Total pages : 684
- ISBN : 9780128026878
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Summary : The second edition of this textbook provides a fully updated approach to fuzzy sets and systems that can model uncertainty — i.e., “type-2” fuzzy sets and systems. The author demonstrates how to overcome the limitations of classical fuzzy sets and systems, enabling a wide range of applications from time-series forecasting ...
- Author : A. Crespo
- Publisher : Elsevier
- Release Date : 2014-06-28
- Total pages : 390
- ISBN : 9780128026878
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Summary : Artificial Intelligence is one of the new technologies that has contributed to the successful development and implementation of powerful and friendly control systems. These systems are more attractive to end-users shortening the gap between control theory applications. The IFAC Symposia on Artificial Intelligence in Real Time Control provides the forum ...
- Author : Abraham Kandel,Gideon Langholz
- Publisher : Springer Science & Business Media
- Release Date : 2012-12-06
- Total pages : 422
- ISBN : 9780128026878
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Summary : Fuzzy hardware developments have been a major force driving the applications of fuzzy set theory and fuzzy logic in both science and engineering. This volume provides the reader with a comprehensive up-to-date look at recent works describing new innovative developments of fuzzy hardware. An important research trend is the design ...
- Author : C. T. Lin,Ching Tai Lin
- Publisher : World Scientific
- Release Date : 1994
- Total pages : 127
- ISBN : 9780128026878
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Summary : A general neural-network-based connectionist model, called Fuzzy Neural Network (FNN), is proposed in this book for the realization of a fuzzy logic control and decision system. The FNN is a feedforward multi-layered network which integrates the basic elements and functions of a traditional fuzzy logic controller into a connectionist structure ...
- Author : Junhong Nie,D. A. Linkens
- Publisher : Prentice Hall PTR
- Release Date : 1995
- Total pages : 243
- ISBN : 9780128026878
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Summary : Shows how Fuzzy Logic and Neural Networks can be intgrated into a Model Reference Control context for real-time control of multivariable systems. It provides a unified architecture which accommodates several popular learning/reasoning paradigms, including Counter Propagation Networks, Radial Basis Functions and CMAC a fuzzy context. Unified treatment of fuzzy-algorithm-based ...
- Author : MengChu Zhou,Han-Xiong Li,Margot Weijnen
- Publisher : John Wiley & Sons
- Release Date : 2015-03-30
- Total pages : 888
- ISBN : 9780128026878
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Summary : Various systems science and engineering disciplines are covered and challenging new research issues in these disciplines are revealed. They will be extremely valuable for the readers to search for some new research directions and problems. Chapters are contributed by world-renowned systems engineers Chapters include discussions and conclusions Readers can grasp ...
- Author : Mustapha Hatti
- Publisher : Springer
- Release Date : 2018-03-12
- Total pages : 531
- ISBN : 9780128026878
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Summary : This book includes the latest research presented at the International Conference on Artificial Intelligence in Renewable Energetic Systems held in Tipaza, Algeria on October 22–24, 2017. The development of renewable energy at low cost must necessarily involve the intelligent optimization of energy flows and the intelligent balancing of production, consumption and energy ...