Semi-Markov Processes: Applications in System Reliability and Maintenance is a modern view of discrete state space and continuous time semi-Markov processes and their applications in reliability and maintenance. The book explains how to construct semi-Markov models and discusses the different reliability parameters and characteristics that can be obtained from those models. The book is a useful resource for mathematicians, engineering practitioners, and PhD and MSc students who want to understand the basic concepts and results of semi-Markov process theory.
Автор: Edwin Lughofer Название: Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications ISBN: 3642266924 ISBN-13(EAN): 9783642266928 Издательство: Springer Рейтинг: Цена: 174130.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents several evolving fuzzy systems approaches using real-world application scenarios to underline the usefulness and necessity of evolving fuzzy systems. The text also outlines potential new applications and raises open problems and new challenges.
Автор: Eduardo Massad; Neli Regina Siqueira Ortega; Laeci Название: Fuzzy Logic in Action: Applications in Epidemiology and Beyond ISBN: 3642088627 ISBN-13(EAN): 9783642088629 Издательство: Springer Рейтинг: Цена: 213360.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book marks a paradigm shift in medical science. It explores topics in epidemiology, mathematical modeling and uncertainty within the framework of fuzzy sets and dynamic systems, giving new ways to predict, diagnose and treat various ailments.
Автор: Ross Timothy J. Название: Fuzzy Logic with Engineering Applications ISBN: 1119235863 ISBN-13(EAN): 9781119235866 Издательство: Wiley Рейтинг: Цена: 66470.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Fuzzy Logic with Engineering Applications, Fourth Edition Timothy J.
Автор: Vito Di Ges?; Sankar Kumar Pal; Alfredo Petrosino Название: Fuzzy Logic and Applications ISBN: 3642022812 ISBN-13(EAN): 9783642022814 Издательство: Springer Рейтинг: Цена: 69870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Constitutes the refereed proceedings of the 8th International Workshop on Fuzzy Logic and Applications held in Palermo, Italy in June 2009.
Автор: Rafik Aziz Aliev; Babek Ghalib Guirimov Название: Type-2 Fuzzy Neural Networks and Their Applications ISBN: 3319090712 ISBN-13(EAN): 9783319090719 Издательство: Springer Рейтинг: Цена: 79190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book deals with the theory, design principles, and application of hybrid intelligent systems using type-2 fuzzy sets in combination with other paradigms of Soft Computing technology such as Neuro-Computing and Evolutionary Computing.
Автор: Rafik Aziz Aliev; Babek Ghalib Guirimov Название: Type-2 Fuzzy Neural Networks and Their Applications ISBN: 3319381598 ISBN-13(EAN): 9783319381596 Издательство: Springer Рейтинг: Цена: 79190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book deals with the theory, design principles, and application of hybrid intelligent systems using type-2 fuzzy sets in combination with other paradigms of Soft Computing technology such as Neuro-Computing and Evolutionary Computing.
Автор: J. Harris Название: Fuzzy Logic Applications in Engineering Science ISBN: 9048170346 ISBN-13(EAN): 9789048170340 Издательство: Springer Рейтинг: Цена: 130590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Fuzzy logic is a relatively new concept in science applications. Hitherto, fuzzy logic has been a conceptual process applied in the field of risk management. Its potential applicability is much wider than that, however, and its particular suitability for expanding our understanding of processes and information in science and engineering in our post-modern world is only just beginning to be appreciated.
Written as a companion text to the author's earlier volume "An Introduction to Fuzzy Logic Applications", the book is aimed at professional engineers and students and those with an interest in exploring the potential of fuzzy logic as an information processing kit with a wide variety of practical applications in the field of engineering science and develops themes and topics introduced in the author's earlier text.
Автор: Erdal Kayacan Название: Fuzzy Neural Networks for Real Time Control Applications ISBN: 0128026871 ISBN-13(EAN): 9780128026878 Издательство: Elsevier Science Рейтинг: Цена: 81960.00 T Наличие на складе: Поставка под заказ. Описание:
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.
Автор: Hime Aguiar e Oliveira Junior; Lester Ingber; Anto Название: Stochastic Global Optimization and Its Applications with Fuzzy Adaptive Simulated Annealing ISBN: 364243343X ISBN-13(EAN): 9783642433436 Издательство: Springer Рейтинг: Цена: 121890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: With applications to many areas in science and technology, the technique examined in this volume is a highly effective algorithmic problem-solving tool. Contributions from leading experts cover the latest research and provide detailed examples of its use.
Автор: Huchang Liao; Zeshui Xu Название: Hesitant Fuzzy Decision Making Methodologies and Applications ISBN: 9811032645 ISBN-13(EAN): 9789811032646 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Preface.- 1 Hesitant Fuzzy Set and Its Extensions.- 2 Novel Correlation and Entropy Measures for Hesitant Fuzzy Set.- 3 Multiple Criteria Decision Making with Hesitant Fuzzy Hybrid Weighted Aggregation Operators.- 4 Hesitant Fuzzy Multiple Criteria Decision Making with Complete Weight Information.- 5 Hesitant Fuzzy Multiple Criteria Decision Making with Incomplete Weights.- 6 Decision Making with Hesitant Fuzzy Preference Relation.
Автор: Zaiwu Gong; Yi Lin; Tianxiang Yao Название: Uncertain Fuzzy Preference Relations and Their Applications ISBN: 3642427901 ISBN-13(EAN): 9783642427909 Издательство: Springer Рейтинг: Цена: 113180.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book explores group decision-making in various scenarios of preference relations, studying the consistency of group decision making using mathematical reasoning, probing decision alternatives using soft computing and optimization and more.
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