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Type-2 Fuzzy Neural Networks and Their Applications, Rafik Aziz Aliev; Babek Ghalib Guirimov


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Автор: Rafik Aziz Aliev; Babek Ghalib Guirimov
Название:  Type-2 Fuzzy Neural Networks and Their Applications
ISBN: 9783319090719
Издательство: Springer
Классификация:


ISBN-10: 3319090712
Обложка/Формат: Hardcover
Страницы: 190
Вес: 0.47 кг.
Дата издания: 19.09.2014
Язык: English
Размер: 241 x 163 x 17
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
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.


Type-2 Fuzzy Neural Networks and Their Applications

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: 11878.00 р.
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.

Geophysical Applications of Artificial Neural Networks and Fuzzy Logic

Автор: Aminzadeh Fred, Sandham W., Leggett M.
Название: Geophysical Applications of Artificial Neural Networks and Fuzzy Logic
ISBN: 1402017294 ISBN-13(EAN): 9781402017292
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book is the first major text to encompass the wide diversity of geophysical applications of artificial neural networks (ANNs) and fuzzy logic (FZ). Each chapter, written by internationally-renowned experts in their field, represents a specific geophysical application, ranging from first-break picking and trace editing encountered in seismic exploration, through well-log lithology determination, to electromagnetic exploration and earthquake seismology. The book offers a well-balanced division of contributions from industry and academia, and includes a comprehensive, up-to-date bibliography covering all major publications in geophysical applications of ANNs and FZ. A special feature of this volume is the preface written by Professor Fred Aminzadeh, eminent authority in the field of artificial intelligence and geophysics. The enclosed CD-ROM contains full colour figures and searchable files, as well as short biographies of the editors.

Engineering Applications of Neural Networks

Автор: Lazaros Iliadis; Chrisina Jayne
Название: Engineering Applications of Neural Networks
ISBN: 3319239813 ISBN-13(EAN): 9783319239811
Издательство: Springer
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Цена: 9224.00 р.
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Описание: This book constitutes the refereed proceedings of the 16th International Conference on Engineering Applications of Neural Networks, EANN 2015, held in Rhodes, Greece, in September 2015. intelligent medical modeling; life-earth sciences intelligent modeling; intelligent telecommunications modeling; financial intelligent modeling;

Theory and Applications of Neural Networks

Автор: J.G. Taylor; C.L.T. Mannion
Название: Theory and Applications of Neural Networks
ISBN: 3540196501 ISBN-13(EAN): 9783540196501
Издательство: Springer
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Цена: 12157.00 р.
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Описание: This volume comprises the papers presented at a special meeting on neural networks in 1990. Among the topics covered are adaptive resonance theory, dynamical systems, realistic neural modelling, pattern recognition using neural networks and a review of hardware for neural network simulations.

Industrial Applications of Neural Networks

Автор: Ian F. Croall; John P. Mason
Название: Industrial Applications of Neural Networks
ISBN: 3540558756 ISBN-13(EAN): 9783540558750
Издательство: Springer
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Цена: 12577.00 р.
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Описание: This study is concerned with the application of neural network technology to real industrial problems. It summarizes the findings of a three-year international project, Applications of Neural Networks for Industry in Europe (ANNIE).

Applications of Neural Networks

Автор: Alan Murray
Название: Applications of Neural Networks
ISBN: 0792394429 ISBN-13(EAN): 9780792394426
Издательство: Springer
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Цена: 30606.00 р.
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Описание: Gives a detailed description of 13 practical applications of neural networks, selected because the tasks performed by the neural networks are real and significant. The contributions are from leading researchers in neural networks and, as a whole, provide a coverage across a range of application areas and algorithms.

Fuzzy Neural Networks for Real Time Control Applications

Автор: Erdal Kayacan
Название: Fuzzy Neural Networks for Real Time Control Applications
ISBN: 0128026871 ISBN-13(EAN): 9780128026878
Издательство: Elsevier Science
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Цена: 12294.00 р.
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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.

Engineering Applications of Neural Networks

Автор: Giacomo Boracchi; Lazaros Iliadis; Chrisina Jayne;
Название: Engineering Applications of Neural Networks
ISBN: 3319651714 ISBN-13(EAN): 9783319651712
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This book constitutes the refereed proceedings of the 18th International Conference on Engineering Applications of Neural Networks, EANN 2017, held in Athens, Greece, in August 2017. The 40 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 83 submissions.

Applications of Mathematics in Models, Artificial Neural Networks and Arts

Автор: Vittorio Capecchi; Massimo Buscema; Pierluigi Cont
Название: Applications of Mathematics in Models, Artificial Neural Networks and Arts
ISBN: 9401783489 ISBN-13(EAN): 9789401783484
Издательство: Springer
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Цена: 36197.00 р.
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Описание: This book is focused on using mathematics in the social sciences. Discussion includes history, mathematical models, artificial neural networks, and the relationship between mathematics and art.

Neural Networks: Artificial Intelligence and Industrial Applications

Автор: Bert Kappen; Stan Gielen
Название: Neural Networks: Artificial Intelligence and Industrial Applications
ISBN: 3540199926 ISBN-13(EAN): 9783540199922
Издательство: Springer
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Цена: 12157.00 р.
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Описание: This volume contains papers presented at the Third Annual SNN Symposium on Neural Networks held in Nijmegen, 1995. It summarizes developments in neurobiology, the cognitive sciences, robotics, and vision and data modelling. Working neural network solutions to industrial problems are also presented.


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