Space-Time Computing with Temporal Neural Networks, James E. Smith
Автор: Chua Название: Cellular Neural Networks and Visual Computing ISBN: 0521652472 ISBN-13(EAN): 9780521652476 Издательство: Cambridge Academ Рейтинг: Цена: 139390.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This is a unique undergraduate level textbook on Cellular Nonlinear/neural Networks (CNN) technology. The many examples and excercises, including a simulator accessible via the Internet, make this book an ideal introduction to CNNs and analogic cellular computing for students, researchers and engineers from a wide range of backgrounds.
Автор: Ivan Stanimirovic? Название: Applied Neural Networks and Soft Computing ISBN: 1773613863 ISBN-13(EAN): 9781773613864 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 164470.00 T Наличие на складе: Невозможна поставка. Описание: Examines the relation between neural networks and soft computing. A neural network is a system of hardware and software designed after the operations of neurons. Applied neural networks have a plethora of applications and the text tries to touch every aspect to give readers a wider perspective.
Автор: Bishop, Christopher M. Название: Neural Networks for Pattern Recognition ISBN: 0198538642 ISBN-13(EAN): 9780198538646 Издательство: Oxford Academ Рейтинг: Цена: 92930.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is the first to provide a comprehensive account of neural networks from a statistical perspective. Its emphasis is on pattern recognition, which currently represents the area of greatest applicability for neural networks. By focusing on pattern recognition, the book provides a much more extensive treatment of many topics than is available in earlier books.
Автор: Brian D. Ripley Название: Pattern Recognition and Neural Networks ISBN: 0521717701 ISBN-13(EAN): 9780521717700 Издательство: Cambridge Academ Рейтинг: Цена: 51750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This 1996 book is a reliable account of the statistical framework for pattern recognition and machine learning. Valuable advice is included on both theory and applications, while case studies based on real data sets help readers develop their understanding. All data sets are available from www.stats.ox.ac.uk/~ripley/PRbook/
Автор: Gurney, Kevin Название: Introduction to neural networks ISBN: 1857285034 ISBN-13(EAN): 9781857285031 Издательство: Taylor&Francis Рейтинг: Цена: 71450.00 T Наличие на складе: Невозможна поставка. Описание: Although mathematical ideas underpin the study of neural networks, this book presents the fundamentals without the full mathematical apparatus. It tackles various aspects of the field, including artificial neurons as models of their real counterparts; the geometry of network action in pattern space; and gradient descent methods.
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: Yongguang Zhang Название: Internetworking and Computing Over Satellite Networks ISBN: 1461350735 ISBN-13(EAN): 9781461350736 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The emphasis of this text is on data networking, internetworking and distributed computing issues. The material surveys recent work in the area of satellite networks, introduces certain state-of-the-art technologies, and presents recent research results in these areas.
Автор: Venkatesan, Ragav, Название: Convolutional Neural Networks In Vi ISBN: 1498770398 ISBN-13(EAN): 9781498770392 Издательство: Taylor&Francis Рейтинг: Цена: 168430.00 T Наличие на складе: Невозможна поставка. Описание: This book covers the fundamentals in designing and deploying techniques using deep architectures. It is intended to serve as a beginner`s guide to engineers or students who want to have a quick start on learning and/or building deep learning systems.
Автор: Gustavo Deco; Dragan Obradovic Название: An Information-Theoretic Approach to Neural Computing ISBN: 0387946667 ISBN-13(EAN): 9780387946665 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Neural networks provide powerful technology to model and control nonlinear and complex systems. This book presents a detailed formulation of neural networks from the information-theoretic viewpoint, showing how this perspective provides insights into the design theory of neural networks.
Автор: Yoshiyasu Takefuji Название: Neural Network Parallel Computing ISBN: 079239190X ISBN-13(EAN): 9780792391906 Издательство: Springer Рейтинг: Цена: 191560.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Demonstrates the computational power of neural network computing by solving numerous problems such as N-queen, crossbar switch scheduling, four-coloring and k-colorability, graph planarization and channel routing, RNA secondary structure prediction, knight`s tour, spare allocation, sorting and searching, and tiling.
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