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Predictive Modular Neural Networks, Vassilios Petridis; Athanasios Kehagias


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Автор: Vassilios Petridis; Athanasios Kehagias
Название:  Predictive Modular Neural Networks
ISBN: 9781461375401
Издательство: Springer
Классификация:



ISBN-10: 1461375401
Обложка/Формат: Paperback
Страницы: 314
Вес: 0.47 кг.
Дата издания: 11.10.2012
Серия: The Springer International Series in Engineering and Computer Science
Язык: English
Размер: 234 x 156 x 18
Основная тема: Physics
Подзаголовок: Applications to Time Series
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: The subject of this book is predictive modular neural networks and their ap- plication to time series problems: classification, prediction and identification.


PID and Predictive Control of Electrical Drives and Power Converters using MATLAB / Simulink

Автор: Liuping Wang,Shan Chai,Dae Yoo,Lu Gan,Ki Ng
Название: PID and Predictive Control of Electrical Drives and Power Converters using MATLAB / Simulink
ISBN: 1118339444 ISBN-13(EAN): 9781118339442
Издательство: Wiley
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Цена: 19158.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Written by a leading author on the subject, PID and Predictive Control of Electric Drives and Power Supplies using MATLAB / Simulink provides a timely introduction to current research on PID and predictive control.

Predictive Modeling of Dynamic Processes

Автор: Stefan Hiermaier
Название: Predictive Modeling of Dynamic Processes
ISBN: 1441907262 ISBN-13(EAN): 9781441907264
Издательство: Springer
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Цена: 26122.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Provides an overview of hydrocode technology, applicable to a variety of industries and areas of engineering design. This book covers automotive crash, blast impact, and hypervelocity impact phenomena, and offers an explanation of the fundamental code components. It explains the specific requirements pertaining to each predictive hydrocode.

Virtual Testing and Predictive Modeling

Автор: Bahram Farahmand
Название: Virtual Testing and Predictive Modeling
ISBN: 1489983708 ISBN-13(EAN): 9781489983701
Издательство: Springer
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Цена: 26120.00 р.
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Описание: This overview of cost- and time-efficient methods to obtain fatigue and fracture data introduces two virtual testing techniques. It includes a chapter devoted to the functionalization process as well as coverage of verification methods.

Predictive Statistical Mechanics

Автор: Roberto Luzzi; ?urea R. Vasconcellos; J. Galv?o Ra
Название: Predictive Statistical Mechanics
ISBN: 9048159636 ISBN-13(EAN): 9789048159635
Издательство: Springer
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Цена: 19589.00 р.
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Описание: Within the framework of Jaynes' "Predictive Statistical Mechanics," this book presents a detailed derivation of an ensemble formalism for open systems arbitrarily away from equilibrium. This involves a large systematization and extension of the fundamental works and ideas of the outstanding pioneers Gibbs and Boltzmann, and of Bogoliubov, Kirkwood, Green, Mori, Zwanzig, Prigogine and Zubarev, among others.
Chapters 1 to 5 include a description of the philosophy, foundations, and construction (methodology) of the formalism, including the derivation of a nonequilibrium grand-canonical ensemble for far-from-equilibrium systems as well as the derivation of a quantum nonlinear kinetic theory and a response function theory together with a theory of scattering. In chapter 6 applications of the theory are cataloged, making comparisons with experimental data (a basic step for the validation of any theory). Chapter 7 is devoted to the description of irreversible thermodynamics, providing a far-reaching generalization of Informational-Statistical Thermodynamics. The last chapter gives an overall picture of the formalism, and questions and criticisms related to it are discussed.
Audience: This book is directed at an audience of researchers in the field of Statistical Mechanics and Thermodynamics of open nonequilibrium systems. In addition, it is relevant for the study of far-from-equilibrium processes in condensed matter, particularly semiconductor physics, as well as molecular Hydrodynamics, Rheology, many-body systems with complex behavior and areas of engineering, etc. The book can also be used as a complement to advanced graduate courses in Statistical Mechanics.

Artificial Neural Networks – ICANN 2009

Автор: Cesare Alippi; Marios M. Polycarpou; Christos Pana
Название: Artificial Neural Networks – ICANN 2009
ISBN: 3642042732 ISBN-13(EAN): 9783642042737
Издательство: Springer
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Цена: 23757.00 р.
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Описание: The ICANN conference is an annual meeting sp- sored by the European Neural Network Society (ENNS), in cooperation with the - ternational Neural Network Society (INNS) and the Japanese Neural Network Society (JNNS).

Efficient Predictive Algorithms for Image Compression

Автор: Lu?s Filipe Ros?rio Lucas; Eduardo Ant?nio Barros
Название: Efficient Predictive Algorithms for Image Compression
ISBN: 3319511793 ISBN-13(EAN): 9783319511795
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book discusses efficient prediction techniques for the current state-of-the-art High Efficiency Video Coding (HEVC) standard, focusing on the compression of a wide range of video signals, such as 3D video, Light Fields and natural images.

Predictive Computing and Information Security

Автор: P.K. Gupta; Vipin Tyagi; S.K. Singh
Название: Predictive Computing and Information Security
ISBN: 9811051062 ISBN-13(EAN): 9789811051067
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This book describes various methods and recent advances in predictive computing and information security. Coverage also includes the frameworks for eTransportation and eHealth, security techniques, and algorithms for predictive computing and information security based on Internet-of-Things and Cloud computing.

Predictive Statistical Mechanics

Автор: Roberto Luzzi; ?urea R. Vasconcellos; J. Galv?o Ra
Название: Predictive Statistical Mechanics
ISBN: 1402004826 ISBN-13(EAN): 9781402004827
Издательство: Springer
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Цена: 20896.00 р.
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Описание: Includes chapters that include a description of the philosophy, foundations, and construction of the formalism, including the derivation of a nonequilibrium grand-canonical ensemble for far-from-equilibrium systems as well as the derivation of a quantum nonlinear kinetic theory and a response function theory together with a theory of scattering.

Model Predictive Control System Design and Implementation Using MATLAB®

Автор: Liuping Wang
Название: Model Predictive Control System Design and Implementation Using MATLAB®
ISBN: 1849968365 ISBN-13(EAN): 9781849968362
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book proposes methods for the design and implementation of MPC systems using basis functions that confer a number of advantages. As well as presenting the theory, the author covers industrial applications and explains the subject of quadratic programming.

Advances in Neural Networks  -- ISNN 2010

Автор: James Kwok; Bao-Liang Lu; Liqing Zhang; Bao-Liang
Название: Advances in Neural Networks -- ISNN 2010
ISBN: 3642132774 ISBN-13(EAN): 9783642132773
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Constitutes the proceedings of the 7th International Symposium on Neural Networks, ISNN 2010, held in Shanghai, China, June 6-9, 2010. This title presents the papers that focus on topics such as Neurophysiological Foundation, Theory and Models, Learning and Inference, and Neurodynamics.

Artificial Neural Networks – ICANN 2009

Автор: Cesare Alippi; Marios M. Polycarpou; Christos Pana
Название: Artificial Neural Networks – ICANN 2009
ISBN: 3642042767 ISBN-13(EAN): 9783642042768
Издательство: Springer
Рейтинг:
Цена: 23757.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The ICANN conference is an annual meeting sp- sored by the European Neural Network Society (ENNS), in cooperation with the - ternational Neural Network Society (INNS) and the Japanese Neural Network Society (JNNS).

Constructive Neural Networks

Автор: Leonardo Franco; Jos? M. Jerez
Название: Constructive Neural Networks
ISBN: 3642261086 ISBN-13(EAN): 9783642261084
Издательство: Springer
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Цена: 29209.00 р.
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Описание: Constructive neural networks and other incremental learning algorithms are discussed in this volume as alternatives to methods for assessing adequate architectures. A valuable overview of the field is presented, in addition to useful applications.


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