Dynamic Learning Networks, Aldo Romano; Giustina Secundo
Автор: Nikolay Nikolaev; Hitoshi Iba Название: Adaptive Learning of Polynomial Networks ISBN: 144194060X ISBN-13(EAN): 9781441940605 Издательство: Springer Рейтинг: Цена: 21661.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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.
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.
Автор: Sundaram Suresh; Narasimhan Sundararajan; Ramasamy Название: Supervised Learning with Complex-valued Neural Networks ISBN: 3642426794 ISBN-13(EAN): 9783642426797 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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.
Автор: Ke-Lin Du; M. N. S. Swamy Название: Neural Networks and Statistical Learning ISBN: 1447170474 ISBN-13(EAN): 9781447170471 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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 Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Bihlmaier Название: Learning Dynamic Spatial Relations ISBN: 3658149132 ISBN-13(EAN): 9783658149130 Издательство: Springer Рейтинг: Цена: 9141.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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 Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Giacomo Della Riccia; Hans-Joachim Lenz; Rudolf Kr Название: Learning, Networks and Statistics ISBN: 3211829105 ISBN-13(EAN): 9783211829103 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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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