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Data-Driven Prediction for Industrial Processes and Their Applications, Jun Zhao; Wei Wang; Chunyang Sheng


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Цена: 18167.00р.
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Автор: Jun Zhao; Wei Wang; Chunyang Sheng
Название:  Data-Driven Prediction for Industrial Processes and Their Applications
ISBN: 9783030067854
Издательство: Springer
Классификация:





ISBN-10: 3030067858
Обложка/Формат: Soft cover
Страницы: 443
Вес: 0.70 кг.
Дата издания: 2018
Серия: Information Fusion and Data Science
Язык: English
Издание: Softcover reprint of
Иллюстрации: 128 illustrations, color; 39 illustrations, black and white; xvi, 443 p. 167 illus., 128 illus. in color.
Размер: 234 x 156 x 24
Читательская аудитория: General (us: trade)
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book presents modeling methods and algorithms for data-driven prediction and forecasting of practical industrial process by employing machine learning and statistics methodologies. Related case studies, especially on energy systems in the steel industry are also addressed and analyzed. The case studies in this volume are entirely rooted in both classical data-driven prediction problems and industrial practice requirements. Detailed figures and tables demonstrate the effectiveness and generalization of the methods addressed, and the classifications of the addressed prediction problems come from practical industrial demands, rather than from academic categories. As such, readers will learn the corresponding approaches for resolving their industrial technical problems. Although the contents of this book and its case studies come from the steel industry, these techniques can be also used for other process industries. This book appeals to students, researchers, and professionals within the machine learning and data analysis and mining communities.
Дополнительное описание: Preface.- Introduction.- Why the prediction is required for industrial process.- Introduction to industrial process prediction.- Category of industrial process prediction.- Common-used techniques for industrial process prediction.- Brief summary.- Data pr



Data-Driven Prediction for Industrial Processes and Their Applications

Автор: Zhao
Название: Data-Driven Prediction for Industrial Processes and Their Applications
ISBN: 3319940503 ISBN-13(EAN): 9783319940502
Издательство: Springer
Рейтинг:
Цена: 18167.00 р.
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Описание: This book presents modeling methods and algorithms for data-driven prediction and forecasting of practical industrial process by employing machine learning and statistics methodologies.

Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner

Автор: Galit Shmueli, Peter C. Bruce, Nitin R. Patel
Название: Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner
ISBN: 1118729277 ISBN-13(EAN): 9781118729274
Издательство: Wiley
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Цена: 17741.00 р.
Наличие на складе: Поставка под заказ.

Описание: Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner(R), Third Edition presents an applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies.

Data-Driven Fault Detection for Industrial Processes

Автор: Zhiwen Chen
Название: Data-Driven Fault Detection for Industrial Processes
ISBN: 3658167556 ISBN-13(EAN): 9783658167554
Издательство: Springer
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Цена: 10480.00 р.
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Описание: Zhiwen Chen aims to develop advanced fault detection (FD) methods for the monitoring of industrial processes.

Dynamic Modeling of Complex Industrial Processes: Data-driven Methods and Application Research

Автор: Chao Shang
Название: Dynamic Modeling of Complex Industrial Processes: Data-driven Methods and Application Research
ISBN: 9811066760 ISBN-13(EAN): 9789811066764
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Introduction.- Concurrent monitoring of steady state and process dynamics with SFA.- Online monitoring and diagnosis of control performance with SFA and contribution plots.- Recursive SFA algorithm and adaptive monitoring system design.- Probabilistic SFR model and its applications in dynamic quality prediction.- Improved DPLS model with temporal smoothness and its applications in dynamic quality prediction.- Nonlinear and dynamic soft sensing model based on Bayesian framework.- Summary and open problems.

Materials Informatics: Methods, Tools, and Applications

Автор: Isayev O
Название: Materials Informatics: Methods, Tools, and Applications
ISBN: 3527341218 ISBN-13(EAN): 9783527341214
Издательство: Wiley
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Цена: 15357.00 р.
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Описание: Provides everything readers need to know for applying the power of informatics to materials science

There is a tremendous interest in materials informatics and application of data mining to materials science. This book is a one-stop guide to the latest advances in these emerging fields. Bridging the gap between materials science and informatics, it introduces readers to up-to-date data mining and machine learning methods. It also provides an overview of state-of-the-art software and tools. Case studies illustrate the power of materials informatics in guiding the experimental discovery of new materials.

Materials Informatics: Methods, Tools and Applications is presented in two parts?Methodological Aspects of Materials Informatics and Practical Aspects and Applications. The first part focuses on developments in software, databases, and high-throughput computational activities. Chapter topics include open quantum materials databases; the ICSD database; open crystallography databases; and more. The second addresses the latest developments in data mining and machine learning for materials science. Its chapters cover genetic algorithms and crystal structure prediction; MQSPR modeling in materials informatics; prediction of materials properties; amongst others.

-Bridges the gap between materials science and informatics
-Covers all the known methodologies and applications of materials informatics
-Presents case studies that illustrate the power of materials informatics in guiding the experimental quest for new materials
-Examines the state-of-the-art software and tools being used today

Materials Informatics: Methods, Tools and Applications is a must-have resource for materials scientists, chemists, and engineers interested in the methods of materials informatics.

Tensor Calculus and Applications: Simplified Tools and Techniques

Автор: Bhaben Chandra Kalita
Название: Tensor Calculus and Applications: Simplified Tools and Techniques
ISBN: 0367138069 ISBN-13(EAN): 9780367138066
Издательство: Taylor&Francis
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Цена: 23734.00 р.
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Описание: The aim of this book is to make the subject easier to understand. This book provides clear concepts, tools, and techniques to master the subject of Tensors, and can be used in many fields of research. Special applications are discussed in the book, in order to remove any confusion, and for absolute understanding of the subject.

Protocols and Applications for the Industrial Internet of Things

Автор: Cristian Gonzalez Garcia, Vicente Garcia-Diaz, B.
Название: Protocols and Applications for the Industrial Internet of Things
ISBN: 1522538054 ISBN-13(EAN): 9781522538059
Издательство: Mare Nostrum (Eurospan)
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Цена: 31324.00 р.
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Описание: The Internet of Things (IoT) has become a major influence on the development of new technologies and innovations. When utilized properly, these applications can enhance business functions and make them easier to perform.Protocols and Applications for the Industrial Internet of Things discusses and addresses the difficulties, challenges, and applications of IoT in industrial processes and production and work life. Featuring coverage on a broad range of topics such as industrial process control, machine learning, and data mining, this book is geared toward academicians, computer engineers, students, researchers, and professionals seeking current and relevant research on applications of the IoT.

Machine Learning Algorithms for Industrial Applications

Автор: Das, S.K., Das, S.P., Dey, N., Hassanien, A.-E.
Название: Machine Learning Algorithms for Industrial Applications
ISBN: 3030506401 ISBN-13(EAN): 9783030506407
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book explores several problems and their solutions regarding data analysis and prediction for industrial applications. Machine learning is a prominent topic in modern industries: its influence can be felt in many aspects of everyday life, as the world rapidly embraces big data and data analytics.

L?vy Processes and Their Applications in Reliability and Storage

Автор: Mohamed Abdel-Hameed
Название: L?vy Processes and Their Applications in Reliability and Storage
ISBN: 3642400744 ISBN-13(EAN): 9783642400742
Издательство: Springer
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Цена: 6986.00 р.
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Описание: ГЇВїВЅ This book covers Levy processes and their applications in the contexts of reliability and storage. Special attention is paid to life distributions and the maintenance of devices subject to degradation; estimating the parameters of the degradation process is also discussed, as is the maintenance of dams subject to Levy input.

Intelligent Methods and Big Data in Industrial Applications

Автор: Bembenik
Название: Intelligent Methods and Big Data in Industrial Applications
ISBN: 3319776037 ISBN-13(EAN): 9783319776033
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Further, the book shows new directions for cooperation between science and industry and facilitates efficient transfer of knowledge in the area of intelligent information systems.

Intelligent Methods and Big Data in Industrial Applications

Автор: Robert Bembenik; ?ukasz Skonieczny; Grzegorz Prota
Название: Intelligent Methods and Big Data in Industrial Applications
ISBN: 3030084922 ISBN-13(EAN): 9783030084929
Издательство: Springer
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Цена: 20962.00 р.
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Описание: The inspiration for this book came from the Industrial Session of the ISMIS 2017 Conference in Warsaw. It covers numerous applications of intelligent technologies in various branches of the industry. Intelligent computational methods and big data foster innovation and enable the industry to overcome technological limitations and explore the new frontiers. Therefore it is necessary for scientists and practitioners to cooperate and inspire each other, and use the latest research findings to create new designs and products. As such, the contributions cover solutions to the problems experienced by practitioners in the areas of artificial intelligence, complex systems, data mining, medical applications and bioinformatics, as well as multimedia- and text processing. Further, the book shows new directions for cooperation between science and industry and facilitates efficient transfer of knowledge in the area of intelligent information systems.

Intelligent Data Analytics for Terror Threat Prediction: Architectures, Methodologies, Techniques, and Applications

Автор: Pani Subhendu Kumar, Singh Sanjay Kumar, Garg Lalit
Название: Intelligent Data Analytics for Terror Threat Prediction: Architectures, Methodologies, Techniques, and Applications
ISBN: 1119711096 ISBN-13(EAN): 9781119711094
Издательство: Wiley
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Цена: 28979.00 р.
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Описание: For centuries people have recognised the importance of language in creating and applying law. This edited volume shows scholars and students how modern linguistics and related fields contribute to understanding the role language plays, and what follows from viewing law`s power as a matter of situated communication in specific social relations rather than an abstract system of rules.


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