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Developing Networks using Artificial Intelligence, Haipeng Yao; Chunxiao Jiang; Yi Qian


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Автор: Haipeng Yao; Chunxiao Jiang; Yi Qian
Название:  Developing Networks using Artificial Intelligence
Перевод названия: Хаипен Яо, Чуньсяо Цзян, И Цянь: Разработка сетей с использованием искусственного интеллекта
ISBN: 9783030150273
Издательство: Springer
Классификация:



ISBN-10: 3030150275
Обложка/Формат: Hardcover
Страницы: 248
Вес: 0.56 кг.
Дата издания: 2019
Серия: Wireless Networks
Язык: English
Издание: 1st ed. 2019
Иллюстрации: 116 illustrations, black and white; xi, 248 p. 116 illus.
Размер: 234 x 156 x 19
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book mainly discusses the most important issues in artificial intelligence-aided future networks, such as applying different ML approaches to investigate solutions to intelligently monitor, control and optimize networking. The authors focus on four scenarios of successfully applying machine learning in network space. It also discusses the main challenge of network traffic intelligent awareness and introduces several machine learning-based traffic awareness algorithms, such as traffic classification, anomaly traffic identification and traffic prediction. The authors introduce some ML approaches like reinforcement learning to deal with network control problem in this book. Traditional works on the control plane largely rely on a manual process in configuring forwarding, which cannot be employed for todays network conditions. To address this issue, several artificial intelligence approaches for self-learning control strategies are introduced. In addition, resource management problems are ubiquitous in the networking field, such as job scheduling, bitrate adaptation in video streaming and virtual machine placement in cloud computing. Compared with the traditional with-box approach, the authors present some ML methods to solve the complexity network resource allocation problems. Finally, semantic comprehension function is introduced to the network to understand the high-level business intent in this book.With Software-Defined Networking (SDN), Network Function Virtualization (NFV), 5th Generation Wireless Systems (5G) development, the global network is undergoing profound restructuring and transformation. However, with the improvement of the flexibility and scalability of the networks, as well as the ever-increasing complexity of networks, makes effective monitoring, overall control, and optimization of the network extremely difficult. Recently, adding intelligence to the control plane through AI&ML become a trend and a direction of network development This books expected audience includes professors, researchers, scientists, practitioners, engineers, industry managers, and government research workers, who work in the fields of intelligent network. Advanced-level students studying computer science and electrical engineering will also find this book useful as a secondary textbook.
Дополнительное описание: Preface vii.- Acknowledgements ix.- Table of Contents xi.- Chapter 1 Introduction 1.- Chapter 2 Intelligence-Driven Networking Architecture 13.- Chapter 3 Intelligent Network Awareness 31.- Chapter 4 Intelligent Network Control 79.- Chapter 5 Intelligent



Artificial Intelligence for Games

Автор: Millington, Ian, Funge, John
Название: Artificial Intelligence for Games
ISBN: 0123747317 ISBN-13(EAN): 9780123747310
Издательство: Taylor&Francis
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Цена: 10870.00 р.
Наличие на складе: Поставка под заказ.

Описание: Creating robust artificial intelligence is one of the greatest challenges for game developers, yet the commercial success of a game is often dependent upon the quality of the AI. In this book, Ian Millington brings extensive professional experience to the problem of improving the quality of AI in games. He describes numerous examples from real games and explores the underlying ideas through detailed case studies. He goes further to introduce many techniques little used by developers today. The book's associated web site contains a library of C++ source code and demonstration programs, and a complete commercial source code library of AI algorithms and techniques.<br><br>"Artificial Intelligence for Games - 2nd edition" will be highly useful to academics teaching courses on game AI, in that it includes exercises with each chapter. It will also include new and expanded coverage of the following: AI-oriented gameplay; Behavior driven AI; Casual games (puzzle games). <br><br>* The first comprehensive, professional tutorial and reference to implement true AI in games written by an engineer with extensive industry experience.<br>* Walks through the entire development process from beginning to end.<br>* Includes examples from over 100 real games, 10 in-depth case studies, and web site with sample code.

Artificial Intelligence in the Age of Neural Networks and Brain Computing

Автор: Kozma, Robert
Название: Artificial Intelligence in the Age of Neural Networks and Brain Computing
ISBN: 0128154802 ISBN-13(EAN): 9780128154809
Издательство: Elsevier Science
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Цена: 22401.00 р.
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Описание:

Artificial Intelligence in the Age of Neural Networks and Brain Computing demonstrates that existing disruptive implications and applications of AI is a development of the unique attributes of neural networks, mainly machine learning, distributed architectures, massive parallel processing, black-box inference, intrinsic nonlinearity and smart autonomous search engines. The book covers the major basic ideas of brain-like computing behind AI, provides a framework to deep learning, and launches novel and intriguing paradigms as future alternatives. The success of AI-based commercial products proposed by top industry leaders, such as Google, IBM, Microsoft, Intel and Amazon can be interpreted using this book.

  • Developed from the 30th anniversary of the International Neural Network Society (INNS) and the 2017 International Joint Conference on Neural Networks (IJCNN)
  • Authored by top experts, global field pioneers and researchers working on cutting-edge applications in signal processing, speech recognition, games, adaptive control and decision-making
  • Edited by high-level academics and researchers in intelligent systems and neural networks
Toward Deep Neural Networks

Автор: Zhang
Название: Toward Deep Neural Networks
ISBN: 1138387037 ISBN-13(EAN): 9781138387034
Издательство: Taylor&Francis
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Цена: 19140.00 р.
Наличие на складе: Поставка под заказ.

Описание: This book introduces deep neural networks, with a focus on the weights-and-structure determination (WASD) algorithm. Based on the authors` 20 years of research experience on neuronets, the book explores the models, algorithms, and applications of the WASD neuronet.

Green and Software-defined Wireless Networks: From Theory to Practice

Автор: Chih-Lin I, Guanding Yu, Shuangfeng Han, Geoffrey
Название: Green and Software-defined Wireless Networks: From Theory to Practice
ISBN: 1108417329 ISBN-13(EAN): 9781108417327
Издательство: Cambridge Academ
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Цена: 14573.00 р.
Наличие на складе: Поставка под заказ.

Описание: An expert treatment of the state-of-the-art in green and soft communications, covering theory, 5G physical layer design, network architecture, energy efficient resource management strategies, and applications of wireless big data and artificial intelligence to wireless network design. Ideal for graduate students, professionals and researchers.

3-D Surface Geometry and Reconstruction: Developing Concepts and Applications

Автор: Umesh Chandra Pati
Название: 3-D Surface Geometry and Reconstruction: Developing Concepts and Applications
ISBN: 1466601132 ISBN-13(EAN): 9781466601130
Издательство: Mare Nostrum (Eurospan)
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Цена: 28413.00 р.
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Описание: Provides developers and scholars with an extensive collection of research articles in the expanding field of 3-D reconstruction. This reference book investigates the concepts, methodologies, applications and recent developments in the field of 3-D reconstruction, making it a useful resource for students, researchers, academics, professionals and industry practitioners.

Developing Technology Mediation in Learning Environments

Автор: Filomena Soares, Ana Paula Lopes, Ken Brown, Anne Uukkivi
Название: Developing Technology Mediation in Learning Environments
ISBN: 1799815927 ISBN-13(EAN): 9781799815921
Издательство: Mare Nostrum (Eurospan)
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Цена: 22037.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Most technologies have been harnessed to enable educators to conduct their business remotely. However, the social context of technology as a mediating factor needs to be examined to address the perceptions of barriers to learning due to the lack of social interaction between a teacher and a learner in such a setting. Developing Technology Mediation in Learning Environments is an essential reference source that widens the scene of STEM education with an all-encompassing approach to technology-mediated learning, establishing a context for technology as a mediating factor in education. Featuring research on topics such as distance education, digital storytelling, and mobile learning, this book is ideally designed for teachers, IT consultants, educational software developers, researchers, administrators, and professionals seeking coverage on developing digital skills and professional knowledge using technology.

Developing Technology Mediation in Learning Environments

Автор: Filomena Soares, Ana Paula Lopes, Ken Brown, Anne Uukkivi
Название: Developing Technology Mediation in Learning Environments
ISBN: 1799815919 ISBN-13(EAN): 9781799815914
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 26195.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Most technologies have been harnessed to enable educators to conduct their business remotely. However, the social context of technology as a mediating factor needs to be examined to address the perceptions of barriers to learning due to the lack of social interaction between a teacher and a learner in such a setting.

Developing Technology Mediation in Learning Environments is an essential reference source that widens the scene of STEM education with an all-encompassing approach to technology-mediated learning, establishing a context for technology as a mediating factor in education. Featuring research on topics such as distance education, digital storytelling, and mobile learning, this book is ideally designed for teachers, IT consultants, educational software developers, researchers, administrators, and professionals seeking coverage on developing digital skills and professional knowledge using technology.

Impossible Minds

Название: Impossible Minds
ISBN: 1783265698 ISBN-13(EAN): 9781783265695
Издательство: World Scientific Publishing
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Цена: 5861.00 р.
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Описание: Impossible Minds: My Neurons, My Consciousness has been written to satisfy the curiosity each and every one of us has about our own consciousness.

Causality, Correlation and Artificial Intelligence for Rational Decision Making

Автор: Marwala Tshilidzi
Название: Causality, Correlation and Artificial Intelligence for Rational Decision Making
ISBN: 9814630861 ISBN-13(EAN): 9789814630863
Издательство: World Scientific Publishing
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Цена: 13939.00 р.
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Описание:

Causality has been a subject of study for a long time. Often causality is confused with correlation. Human intuition has evolved such that it has learned to identify causality through correlation. In this book, four main themes are considered and these are causality, correlation, artificial intelligence and decision making. A correlation machine is defined and built using multi-layer perceptron network, principal component analysis, Gaussian Mixture models, genetic algorithms, expectation maximization technique, simulated annealing and particle swarm optimization. Furthermore, a causal machine is defined and built using multi-layer perceptron, radial basis function, Bayesian statistics and Hybrid Monte Carlo methods. Both these machines are used to build a Granger non-linear causality model. In addition, the Neyman-Rubin, Pearl and Granger causal models are studied and are unified. The automatic relevance determination is also applied to extend Granger causality framework to the non-linear domain. The concept of rational decision making is studied, and the theory of flexibly-bounded rationality is used to extend the theory of bounded rationality within the principle of the indivisibility of rationality. The theory of the marginalization of irrationality for decision making is also introduced to deal with satisficing within irrational conditions. The methods proposed are applied in biomedical engineering, condition monitoring and for modelling interstate conflict.

Impossible Minds: My Neurons, My Consciousness (Revised Edition)

Автор: Aleksander Igor
Название: Impossible Minds: My Neurons, My Consciousness (Revised Edition)
ISBN: 178326568X ISBN-13(EAN): 9781783265688
Издательство: World Scientific Publishing
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Цена: 12830.00 р.
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Описание: Impossible Minds: My Neurons, My Consciousness has been written to satisfy the curiosity each and every one of us has about our own consciousness.

Vlsi for neural networks and artificial intelligence

Название: Vlsi for neural networks and artificial intelligence
ISBN: 1489913335 ISBN-13(EAN): 9781489913333
Издательство: Springer
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Цена: 23058.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Neural network and artificial intelligence algorithrns and computing have increased not only in complexity but also in the number of applications. the areas are: analog circuits for neural networks, digital implementations of neural networks, neural networks on multiprocessor systems and applications, and VLSI machines for artificial intelligence.

VLSI for Neural Networks and Artificial Intelligence

Автор: Jose G. Delgado-Frias; W.R. Moore
Название: VLSI for Neural Networks and Artificial Intelligence
ISBN: 0306447223 ISBN-13(EAN): 9780306447228
Издательство: Springer
Рейтинг:
Цена: 23058.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Neural network and artificial intelligence algorithrns and computing have increased not only in complexity but also in the number of applications. the areas are: analog circuits for neural networks, digital implementations of neural networks, neural networks on multiprocessor systems and applications, and VLSI machines for artificial intelligence.


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