Fuzzy Learning And Applications PDF Download
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| Author | : Marco Russo |
| Publisher | : CRC Press |
| Total Pages | : 404 |
| Release | : 2024-04-26 |
| Genre | : Computers |
| ISBN | : 1482274485 |
Download Fuzzy Learning and Applications Book in PDF, ePub and Kindle
With low computational complexity and relatively short development time, Fuzzy Logic is an indispensable tool for engineering applications. The field is growing at an unprecedented rate, and there is a need for a book that describes essential tools, applications, examples, and perspectives in the field of fuzzy learning. The editors of Fuzzy Learni
| Author | : Erdal Kayacan |
| Publisher | : Butterworth-Heinemann |
| Total Pages | : 266 |
| Release | : 2015-10-07 |
| Genre | : Mathematics |
| ISBN | : 0128027037 |
Download Fuzzy Neural Networks for Real Time Control Applications Book in PDF, ePub and Kindle
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 | : Marco Russo |
| Publisher | : CRC Press |
| Total Pages | : 408 |
| Release | : 2000-12-13 |
| Genre | : Computers |
| ISBN | : 9780849322693 |
Download Fuzzy Learning and Applications Book in PDF, ePub and Kindle
With low computational complexity and relatively short development time, Fuzzy Logic is an indispensable tool for engineering applications. The field is growing at an unprecedented rate, and there is a need for a book that describes essential tools, applications, examples, and perspectives in the field of fuzzy learning. The editors of Fuzzy Learning and Applications fill this need, providing an essential book for researchers, scientists, and engineers alike. Organized into four parts, this book starts with the simplest learning method and gradually arrives at the most complex. First, it summarizes all the symbols and formulae used in the succeeding chapters and presents a historical overview of fuzzy learning. Next, it deals with current techniques, ranging from deterministic to hybrid methods. It then illustrates the enormous number of possibilities offered by fuzzy learning. Finally, it covers hardware dedicated to fuzzy learning, from digital to analog designs and implementations. With Fuzzy Learning and Applications, readers will discover the enormous possibilities fuzzy learning offers.
| Author | : George J. Klir |
| Publisher | : |
| Total Pages | : 574 |
| Release | : 2015 |
| Genre | : |
| ISBN | : 9789332549425 |
Download Fuzzy Sets and Fuzzy Logic Book in PDF, ePub and Kindle
| Author | : Edwin Lughofer |
| Publisher | : Springer |
| Total Pages | : 467 |
| Release | : 2011-01-31 |
| Genre | : Technology & Engineering |
| ISBN | : 3642180876 |
Download Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications Book in PDF, ePub and Kindle
In today’s real-world applications, there is an increasing demand of integrating new information and knowledge on-demand into model building processes to account for changing system dynamics, new operating conditions, varying human behaviors or environmental influences. Evolving fuzzy systems (EFS) are a powerful tool to cope with this requirement, as they are able to automatically adapt parameters, expand their structure and extend their memory on-the-fly, allowing on-line/real-time modeling. This book comprises several evolving fuzzy systems approaches which have emerged during the last decade and highlights the most important incremental learning methods used. The second part is dedicated to advanced concepts for increasing performance, robustness, process-safety and reliability, for enhancing user-friendliness and enlarging the field of applicability of EFS and for improving the interpretability and understandability of the evolved models. The third part underlines the usefulness and necessity of evolving fuzzy systems in several online real-world application scenarios, provides an outline of potential future applications and raises open problems and new challenges for the next generation evolving systems, including human-inspired evolving machines. The book includes basic principles, concepts, algorithms and theoretic results underlined by illustrations. It is dedicated to researchers from the field of fuzzy systems, machine learning, data mining and system identification as well as engineers and technicians who apply data-driven modeling techniques in real-world systems.
| Author | : Lefteri H. Tsoukalas |
| Publisher | : McGraw Hill Professional |
| Total Pages | : 174 |
| Release | : 2023-10-27 |
| Genre | : Technology & Engineering |
| ISBN | : 1264676131 |
Download Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning Book in PDF, ePub and Kindle
Fuzzy logic principles, practices, and real-world applications This hands-on guide offers clear explanations of fuzzy logic along with practical applications and real-world examples. Written by an award-winning engineer, Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning is aimed at improving competence and motivation in students and professionals alike. Inside, you will discover how to apply fuzzy logic in the context of pervasive digitization and big data across emerging technologies which require a very different man-machine relationship than the ones previously used in engineering, science, economics, and social sciences. Applications covered include intelligent energy systems with demand response, smart homes, electrification of transportation, supply chain efficiencies, smart cities, e-commerce, education, healthcare, and decarbonization. Serves as a classroom guide and as an on-the-job resource Ancillaries include a sample syllabus, test sets with answer keys, and additional self-study resources for students Written by an expert in the field and experienced author
| Author | : Toshirō Terano |
| Publisher | : Elsevier |
| Total Pages | : 268 |
| Release | : 1992 |
| Genre | : Fuzzy sets. |
| ISBN | : 9780126852455 |
Download Fuzzy Systems Theory and Its Applications Book in PDF, ePub and Kindle
Computing Methodologies -- Pattern Recognition.
| Author | : Yaochu Jin |
| Publisher | : Physica |
| Total Pages | : 276 |
| Release | : 2012-12-06 |
| Genre | : Computers |
| ISBN | : 3790817716 |
Download Advanced Fuzzy Systems Design and Applications Book in PDF, ePub and Kindle
Fuzzy rule systems have found a wide range of applications in many fields of science and technology. Traditionally, fuzzy rules are generated from human expert knowledge or human heuristics for relatively simple systems. In the last few years, data-driven fuzzy rule generation has been very active. Compared to heuristic fuzzy rules, fuzzy rules generated from data are able to extract more profound knowledge for more complex systems. This book presents a number of approaches to the generation of fuzzy rules from data, ranging from the direct fuzzy inference based to neural net works and evolutionary algorithms based fuzzy rule generation. Besides the approximation accuracy, special attention has been paid to the interpretabil ity of the extracted fuzzy rules. In other words, the fuzzy rules generated from data are supposed to be as comprehensible to human beings as those generated from human heuristics. To this end, many aspects of interpretabil ity of fuzzy systems have been discussed, which must be taken into account in the data-driven fuzzy rule generation. In this way, fuzzy rules generated from data are intelligible to human users and therefore, knowledge about unknown systems can be extracted.
| Author | : Francesco Masulli |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 708 |
| Release | : 2007-06-29 |
| Genre | : Computers |
| ISBN | : 354073399X |
Download Applications of Fuzzy Sets Theory Book in PDF, ePub and Kindle
The 7th International Workshop on Fuzzy Logic and Applications, held in Camogli, Italy in July 2007, presented the latest findings in the field. This volume features the refereed proceedings from that meeting. It includes 84 full papers as well as three keynote speeches. The papers are organized into topical sections covering fuzzy set theory, fuzzy information access and retrieval, fuzzy machine learning, and fuzzy architectures and systems.
| Author | : Ronald R. Yager |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 358 |
| Release | : 2012-12-06 |
| Genre | : Computers |
| ISBN | : 1461536405 |
Download An Introduction to Fuzzy Logic Applications in Intelligent Systems Book in PDF, ePub and Kindle
An Introduction to Fuzzy Logic Applications in Intelligent Systems consists of a collection of chapters written by leading experts in the field of fuzzy sets. Each chapter addresses an area where fuzzy sets have been applied to situations broadly related to intelligent systems. The volume provides an introduction to and an overview of recent applications of fuzzy sets to various areas of intelligent systems. Its purpose is to provide information and easy access for people new to the field. The book also serves as an excellent reference for researchers in the field and those working in the specifics of systems development. People in computer science, especially those in artificial intelligence, knowledge-based systems, and intelligent systems will find this to be a valuable sourcebook. Engineers, particularly control engineers, will also have a strong interest in this book. Finally, the book will be of interest to researchers working in decision support systems, operations research, decision theory, management science and applied mathematics. An Introduction to Fuzzy Logic Applications in Intelligent Systems may also be used as an introductory text and, as such, it is tutorial in nature.
