Автор: Alberto M. Bento, Anil K. Aggarwal Название: Cloud Computing Service and Deployment Models: Layers and Management ISBN: 1466621877 ISBN-13(EAN): 9781466621879 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 180180.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Presents a collection of diverse perspectives on cloud computing and its vital role in all components of organizations. With its intent to benefit practitioners and industry professionals, this book aims to improve the understanding of cloud computing and tackle related concerns such as change management, security, processing approaches, and much more.
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: Zhang Ming Название: Applied Artificial Higher Order Neural Networks for Control and Recognition ISBN: 1522500634 ISBN-13(EAN): 9781522500636 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 208830.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In recent years, Higher Order Neural Networks (HONNs) have been widely adopted by researchers for applications in control signal generating, pattern recognition, nonlinear recognition, classification, and predition of control and recognition scenarios. Due to the fact that HONNs have been proven to be faster, more accurate, and easier to explain than traditional neural networks, their applications are limitless.Applied Artificial Higher Order Neural Networks for Control and Recognition explores the ways in which higher order neural networks are being integrated specifically for intelligent technology applications. Emphasizing emerging research, practice, and real-world implementation, this timely reference publication is an essential reference source for researchers, IT professionals, and graduate-level computer science and engineering students.
Автор: Luo Fa-Long Название: Applied Neural Networks for Signal Processing ISBN: 0521644003 ISBN-13(EAN): 9780521644006 Издательство: Cambridge Academ Рейтинг: Цена: 66530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A comprehensive introduction to the use of neural networks in signal processing, covering basic principles and practical implementation procedures. A key feature of the book is that many carefully designed simulation examples are included to help guide the reader in the development of systems for new applications.
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: 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: Zhang Название: Toward Deep Neural Networks ISBN: 1138387037 ISBN-13(EAN): 9781138387034 Издательство: Taylor&Francis Рейтинг: Цена: 127600.00 T Наличие на складе: Поставка под заказ. Описание: This book introduces deep neural networks, with a focus on the weights-and-structure determination (WASD) algorithm. Based on the authors` 20 years of research experience on neuronets, the book explores the models, algorithms, and applications of the WASD neuronet.
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: James E. Smith Название: Space-Time Computing with Temporal Neural Networks ISBN: 1627059482 ISBN-13(EAN): 9781627059480 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 82230.00 T Наличие на складе: Невозможна поставка. Описание: Written from the perspective of a computer designer and targeted at computer researchers, this volume is intended to give both background and lay out a course of action for studying the brain`s computational paradigm. It contains a mix of concepts and ideas drawn from computational neuroscience, combined with those of the author.
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