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Complex Networks & Their Applications V, Cherifi


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Цена: 46118.00р.
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При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
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Автор: Cherifi
Название:  Complex Networks & Their Applications V
ISBN: 9783319509006
Издательство: Springer
Классификация:



ISBN-10: 3319509004
Обложка/Формат: Hardback
Страницы: 833
Вес: 1.44 кг.
Дата издания: 2017
Серия: Studies in Computational Intelligence
Язык: English
Иллюстрации: 236 illustrations, color; 71 illustrations, black and white; xx, 833 p. 307 illus., 236 illus. in color.
Размер: 234 x 156 x 45
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Подзаголовок: Proceedings of the 5th International Workshop on Complex Networks and their Applications (COMPLEX NETWORKS 2016)
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book highlights cutting-edge research in the field of network science, offering scientists, researchers and graduate students a unique opportunity to catch up on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the fifth International Workshop on Complex Networks & their Applications (COMPLEX NETWORKS 2016), which took place in Milan during the last week of November 2016. The carefully selected papers are divided into 11 sections reflecting the diversity and richness of research areas in the field. More specifically, the following topics are covered: Network models; Network measures; Community structure; Network dynamics; Diffusion, epidemics and spreading processes; Resilience and control; Network visualization; Social and political networks; Networks in finance and economics; Biological and ecological networks; and Network analysis.


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.

Applications of Neural Networks in High Assurance Systems

Автор: Johann M.Ph. Schumann; Yan Liu
Название: Applications of Neural Networks in High Assurance Systems
ISBN: 3642106897 ISBN-13(EAN): 9783642106897
Издательство: Springer
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Цена: 23508.00 р.
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Описание: This is the first book to directly address a key part of neural network technology: state-of-the-art methods used to pass the tough verification and validation standards required in many safety-critical applications.

Engineering Applications of Neural Networks

Автор: Jayne
Название: Engineering Applications of Neural Networks
ISBN: 3319441876 ISBN-13(EAN): 9783319441870
Издательство: Springer
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Цена: 9503.00 р.
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Описание: This book constitutes the refereed proceedings of the 17th International Conference on Engineering Applications of Neural Networks, EANN 2016, held in Aberdeen, UK, in September 2016.The 22 revised full papers and three short papers presented together with two tutorials were carefully reviewed and selected from 41 submissions. The papers are organized in topical sections on active learning and dynamic environments; semi-supervised modeling; classification applications; clustering applications; cyber-physical systems and cloud applications; time-series prediction; learning-algorithms.


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