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Dynamic Learning Networks, Aldo Romano; Giustina Secundo


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Цена: 19564.00р.
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При оформлении заказа до: 2025-07-28
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Автор: Aldo Romano; Giustina Secundo
Название:  Dynamic Learning Networks
ISBN: 9781441954992
Издательство: Springer
Классификация:




ISBN-10: 1441954996
Обложка/Формат: Paperback
Страницы: 178
Вес: 0.29 кг.
Дата издания: 05.11.2010
Язык: English
Размер: 234 x 156 x 11
Основная тема: Computer Science
Подзаголовок: Models and Cases in Action
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Based on the 2008 workshop Managing Uncertainty and Competition through Dynamic Learning Networks, this book provides academics and company managers with an extended view of organizational learning networks from real cases and different perspectives.


Adaptive Learning of Polynomial Networks

Автор: Nikolay Nikolaev; Hitoshi Iba
Название: Adaptive Learning of Polynomial Networks
ISBN: 144194060X ISBN-13(EAN): 9781441940605
Издательство: Springer
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Цена: 21661.00 р.
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Описание: This book delivers theoretical and practical knowledge for developing algorithms that infer linear and non-linear multivariate models, providing a methodology for inductive learning of polynomial neural network models (PNN) from data.

Artificial Neural Networks and Machine Learning – ICANN 2016

Автор: Villa
Название: Artificial Neural Networks and Machine Learning – ICANN 2016
ISBN: 3319447807 ISBN-13(EAN): 9783319447803
Издательство: Springer
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Цена: 10342.00 р.
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Описание: The two volume set, LNCS 9886 + 9887, constitutes the proceedings of the 25th International Conference on Artificial Neural Networks, ICANN 2016, held in Barcelona, Spain, in September 2016. The 121 full papers included in this volume were carefully reviewed and selected from 227 submissions.

Artificial Neural Networks and Machine Learning – ICANN 2016

Автор: Villa
Название: Artificial Neural Networks and Machine Learning – ICANN 2016
ISBN: 3319447777 ISBN-13(EAN): 9783319447773
Издательство: Springer
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Цена: 10342.00 р.
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Описание: The two volume set, LNCS 9886 + 9887, constitutes the proceedings of the 25th International Conference on Artificial Neural Networks, ICANN 2016, held in Barcelona, Spain, in September 2016. The 121 full papers included in this volume were carefully reviewed and selected from 227 submissions.

Supervised Learning with Complex-valued Neural Networks

Автор: Sundaram Suresh; Narasimhan Sundararajan; Ramasamy
Название: Supervised Learning with Complex-valued Neural Networks
ISBN: 3642426794 ISBN-13(EAN): 9783642426797
Издательство: Springer
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Цена: 15672.00 р.
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Описание: A new generation of neural networks is needed in telecommunications, medical imaging and signal processing as signals become more complex and nonlinear. This survey of the latest complex-valued networks includes learning algorithms and new architectures.

Collaboration, Learning and Innovation Across Outsourced Services Value Networks

Автор: Pamela Abbott; Yingqin Zheng; Rong Du
Название: Collaboration, Learning and Innovation Across Outsourced Services Value Networks
ISBN: 3319144200 ISBN-13(EAN): 9783319144207
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book collects and reports on the results of a study conducted on the Chinese Software and Services Outsourcing (SSO) industry, focusing on one of its main players as a key case study.

Neural Networks and Statistical Learning

Автор: Ke-Lin Du; M. N. S. Swamy
Название: Neural Networks and Statistical Learning
ISBN: 1447170474 ISBN-13(EAN): 9781447170471
Издательство: Springer
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Цена: 14365.00 р.
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Описание: Inclusive coverage of all the essential neural network applications in a statistical learning framework makes this a baseline text for students and researchers, with 25 chapters on all the major approaches that include a wealth of examples and exercises.

Artificial Neural Networks and Machine Learning -- ICANN 2013

Автор: Valeri Mladenov; Petia Koprinkova-Hristova; G?nthe
Название: Artificial Neural Networks and Machine Learning -- ICANN 2013
ISBN: 3642407277 ISBN-13(EAN): 9783642407277
Издательство: Springer
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Цена: 6986.00 р.
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Описание: The focus of the papers is on following topics: neurofinance graphical network models, brain machine interfaces, evolutionary neural networks, neurodynamics, complex systems, neuroinformatics, neuroengineering, hybrid systems, computational biology, neural hardware, bioinspired embedded systems, and collective intelligence.

Learning Dynamic Spatial Relations

Автор: Bihlmaier
Название: Learning Dynamic Spatial Relations
ISBN: 3658149132 ISBN-13(EAN): 9783658149130
Издательство: Springer
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Цена: 9141.00 р.
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Описание: Andreas Bihlmaier describes a novel method to model dynamic spatial relations by machine learning techniques. The method is applied to the task of representing the tacit knowledge of a trained camera assistant in minimally-invasive surgery. The model is then used for intraoperative control of a robot that autonomously positions the endoscope. Furthermore, a modular robotics platform is described, which forms the basis for this knowledge-based assistance system. Promising results from a complex phantom study are presented.

Artificial Neural Networks and Machine Learning -- ICANN 2017

Автор: Alessandra Lintas; Stefano Rovetta; Paul F.M.J. Ve
Название: Artificial Neural Networks and Machine Learning -- ICANN 2017
ISBN: 3319685996 ISBN-13(EAN): 9783319685991
Издательство: Springer
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Цена: 9781.00 р.
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Описание: The two volume set, LNCS 10613 and 10614, constitutes the proceedings of then 26th International Conference on Artificial Neural Networks, ICANN 2017, held in Alghero, Italy, in September 2017. The 128 full papers included in this volume were carefully reviewed and selected from 270 submissions.

Learning, Networks and Statistics

Автор: Giacomo Della Riccia; Hans-Joachim Lenz; Rudolf Kr
Название: Learning, Networks and Statistics
ISBN: 3211829105 ISBN-13(EAN): 9783211829103
Издательство: Springer
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Цена: 12157.00 р.
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Описание: Presents proceedings of a workshop which brought together scientists and engineers with an interest in work in the fields of computer science, mathematics and applied statistics. Contributions deal with neural nets, statistics and networks, classification and data mining, and (machine) learning.


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