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Introduction to neural networks, Gurney, Kevin

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Автор: Gurney, Kevin
Название:  Introduction to neural networks
Перевод названия: Кевин Герни: Введение в нейронные сети
ISBN: 9781857285031
Издательство: Taylor&Francis
ISBN-10: 1857285034
Обложка/Формат: Paperback
Страницы: 248
Вес: 0.366 кг.
Дата издания: 05.08.1997
Язык: English
Иллюстрации: 135 illustrations
Размер: 23.29 x 15.57 x 1.47 cm
Читательская аудитория: Postgraduate, research & scholarly
Ссылка на Издательство: Link
Поставляется из: Англии
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.

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
Цена: 18167 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Pattern Recognition and Neural Networks

Автор: Brian D. Ripley
Название: Pattern Recognition and Neural Networks
ISBN: 0521717701 ISBN-13(EAN): 9780521717700
Издательство: Cambridge Academ
Цена: 7126 р.
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/

Neural Networks for Pattern Recognition

Автор: Bishop, Christopher M.
Название: Neural Networks for Pattern Recognition
ISBN: 0198538642 ISBN-13(EAN): 9780198538646
Издательство: Oxford Academ
Цена: 13147 р.
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.

Introduction to Constraint Databases

Автор: Revesz Peter
Название: Introduction to Constraint Databases
ISBN: 0387987290 ISBN-13(EAN): 9780387987293
Издательство: Springer
Цена: 9776 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Presents the theory and applications of "constraint database" systems, which provide methods for the design of data models and query languages. This resource is useful for advanced students, practitioners, and professionals in computer science, database systems, and information systems.

Introduction to statistical relational learning

Название: Introduction to statistical relational learning
ISBN: 0262072882 ISBN-13(EAN): 9780262072885
Издательство: MIT Press
Цена: 10692 р.
Наличие на складе: Нет в наличии.

Описание: Advanced statistical modeling and knowledge representation techniques for a newly emerging area of machine learning and probabilistic reasoning; includes introductory material, tutorials for different proposed approaches, and applications.

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