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An Introduction to Neural Information Processing, Liang Peiji, Wu Si, Gu Fanji


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Цена: 139750.00T
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Автор: Liang Peiji, Wu Si, Gu Fanji
Название:  An Introduction to Neural Information Processing
ISBN: 9789402413410
Издательство: Springer
Классификация:





ISBN-10: 9402413413
Обложка/Формат: Paperback
Страницы: 328
Вес: 0.48 кг.
Дата издания: 31.03.2018
Язык: English
Издание: Softcover reprint of
Иллюстрации: 45 tables, color; 1 tables, black and white; 45 illustrations, color; 165 illustrations, black and white; xi, 328 p. 210 illus., 45 illus. in color.;
Размер: 23.39 x 15.60 x 1.80 cm
Читательская аудитория: General (us: trade)
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: This book provides an overview of neural information processing research, which is one of the most important branches of neuroscience today. Neural information processing is an interdisciplinary subject, and the merging interaction between neuroscience and mathematics, physics, as well as information science plays a key role in the development of this field. This book begins with the anatomy of the central nervous system, followed by an introduction to various information processing models at different levels. The authors all have extensive experience in mathematics, physics and biomedical engineering, and have worked in this multidisciplinary area for a number of years. They present classical examples of how the pioneers in this field used theoretical analysis, mathematical modeling and computer simulation to solve neurobiological problems, and share their experiences and lessons learned. The book is intended for researchers and students with a mathematics, physics or informatics background who are interested in brain research and keen to understand the necessary neurobiology and how they can use their specialties to address neurobiological problems. It is also provides inspiration for neuroscience students who are interested in learning how to use mathematics, physics or informatics approaches to solve problems in their field.
Дополнительное описание: Introduction.- Neurobiological basis underlying neural information processing.- Single neuron models.- Neural Coding.- Neural information processing in different brain areas.- Network models of neural information processing.


An Introduction to Machine Learning

Автор: Miroslav Kubat
Название: An Introduction to Machine Learning
ISBN: 3319348868 ISBN-13(EAN): 9783319348865
Издательство: Springer
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Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents basic ideas of machine learning in a way that is easy to understand, by providing hands-on practical advice, using simple examples, and motivating students with discussions of interesting applications.

Neural Information Processing

Автор: Derong Liu; Shengli Xie; Yuanqing Li; Dongbin Zhao
Название: Neural Information Processing
ISBN: 331970138X ISBN-13(EAN): 9783319701387
Издательство: Springer
Рейтинг:
Цена: 111790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The six volume set LNCS 10634, LNCS 10635, LNCS 10636, LNCS 10637, LNCS 10638, and LNCS 10639 constitues the proceedings of the 24rd International Conference on Neural Information Processing, ICONIP 2017, held in Guangzhou, China, in November 2017.

Handbook on Neural Information Processing

Автор: Monica Bianchini; Marco Maggini; Lakhmi C. Jain
Название: Handbook on Neural Information Processing
ISBN: 3642429890 ISBN-13(EAN): 9783642429897
Издательство: Springer
Рейтинг:
Цена: 139310.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

This handbook presents some of the most recent topics in neural information processing, covering both theoretical concepts and practical applications. The contributions include:

  • Deep architectures
  • Recurrent, recursive, and graph neural networks
  • Cellular neural networks
  • Bayesian networks
  • Approximation capabilities of neural networks
  • Semi-supervised learning
  • Statistical relational learning
  • Kernel methods for structured data
  • Multiple classifier systems
  • Self organisation and modal learning
  • Applications to content-based image retrieval, text mining in large document collections, and bioinformatics

This book is thought particularly for graduate students, researchers and practitioners, willing to deepen their knowledge on more advanced connectionist models and related learning paradigms.


Neural Information Processing

Автор: Derong Liu; Shengli Xie; Yuanqing Li; Dongbin Zhao
Название: Neural Information Processing
ISBN: 3319701355 ISBN-13(EAN): 9783319701356
Издательство: Springer
Рейтинг:
Цена: 111790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The six volume set LNCS 10634, LNCS 10635, LNCS 10636, LNCS 10637, LNCS 10638, and LNCS 10639 constitues the proceedings of the 24rd International Conference on Neural Information Processing, ICONIP 2017, held in Guangzhou, China, in November 2017.

Neural Information Processing

Автор: Tingwen Huang; Zhigang Zeng; Chuandong Li; Chi Sin
Название: Neural Information Processing
ISBN: 3642344801 ISBN-13(EAN): 9783642344800
Издательство: Springer
Рейтинг:
Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The five volume set LNCS 7663, LNCS 7664, LNCS 7665, LNCS 7666 and LNCS 7667 constitutes the proceedings of the 19th International Conference on Neural Information Processing, ICONIP 2012, held in Doha, Qatar, in November 2012.

Open heritage data : an introduction to research, publishing and programming with open data in the heritage sector

Автор: Henriette Roued-Cunliffe
Название: Open heritage data : an introduction to research, publishing and programming with open data in the heritage sector
ISBN: 178330359X ISBN-13(EAN): 9781783303595
Издательство: Facet
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Цена: 95040.00 T
Наличие на складе: Невозможна поставка.
Описание: This book combines current research in open data practices in the heritage sector with technical step-by-step guides on how to work with heritage data for visualisation, mapping, and mining.

Neural Information Processing

Автор: Chi-Sing Leung; Minho Lee; Jonathan H. Chan
Название: Neural Information Processing
ISBN: 3642106765 ISBN-13(EAN): 9783642106767
Издательство: Springer
Рейтинг:
Цена: 144410.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: th This two-volume set constitutes the Proceedings of the 16 International Conference on Neural Information Processing (ICONIP 2009), held in Bangkok, Thailand, during December 1-5, 2009.

Handbook on Neural Information Processing

Автор: Bianchini Monica
Название: Handbook on Neural Information Processing
ISBN: 3642366562 ISBN-13(EAN): 9783642366567
Издательство: Springer
Рейтинг:
Цена: 174150.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Neural Network Architectures.- Learning paradigms.-

Reasoning and applications.- conclusions.

Reasoning and applications.- conclusions.

Reasoning and applications.- conclusions.


Neural Information Processing

Автор: Chi-Sing Leung; Minho Lee; Jonathan H. Chan
Название: Neural Information Processing
ISBN: 364210682X ISBN-13(EAN): 9783642106828
Издательство: Springer
Рейтинг:
Цена: 144410.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: th This two-volume set constitutes the Proceedings of the 16 International Conference on Neural Information Processing (ICONIP 2009), held in Bangkok, Thailand, during December 1-5, 2009.

Principles of Neural Information Processing

Автор: Werner v. Seelen; Konstantin Behrend
Название: Principles of Neural Information Processing
ISBN: 3319201123 ISBN-13(EAN): 9783319201122
Издательство: Springer
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Цена: 95770.00 T
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Описание:

In this fundamental book the authors devise a framework that describes the working of the brain as a whole. It presents a comprehensive introduction to the principles of Neural Information Processing as well as recent and authoritative research. The books guiding principles are the main purpose of neural activity, namely, to organize behavior to ensure survival, as well as the understanding of the evolutionary genesis of the brain. Among the developed principles and strategies belong self-organization of neural systems, flexibility, the active interpretation of the world by means of construction and prediction as well as their embedding into the world, all of which form the framework of the presented description. Since, in brains, their partial self-organization, the lifelong adaptation and their use of various methods of processing incoming information are all interconnected, the authors have chosen not only neurobiology and evolution theory as a basis for the elaboration of such a framework but also systems and signal theory.

The most important message of the book and authors is: brains are evolved as a whole and a description of parts although necessary lets one miss the wood for the trees.


Neural Information Processing

Автор: Derong Liu; Shengli Xie; Yuanqing Li; Dongbin Zhao
Название: Neural Information Processing
ISBN: 3319700863 ISBN-13(EAN): 9783319700861
Издательство: Springer
Рейтинг:
Цена: 111790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The six volume set LNCS 10634, LNCS 10635, LNCS 10636, LNCS 10637, LNCS 10638, and LNCS 10639 constitues the proceedings of the 24rd International Conference on Neural Information Processing, ICONIP 2017, held in Guangzhou, China, in November 2017.

Neural Information Processing

Автор: Derong Liu; Shengli Xie; Yuanqing Li; Dongbin Zhao
Название: Neural Information Processing
ISBN: 3319700898 ISBN-13(EAN): 9783319700892
Издательство: Springer
Рейтинг:
Цена: 111790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The six volume set LNCS 10634, LNCS 10635, LNCS 10636, LNCS 10637, LNCS 10638, and LNCS 10639 constitues the proceedings of the 24rd International Conference on Neural Information Processing, ICONIP 2017, held in Guangzhou, China, in November 2017.


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