Applications of Mathematical Modeling, Machine Learning, and Intelligent Computing for Industrial Development, Jain, Madhu
Автор: Brunton, Steven L. (university Of Washington) Kutz Название: Data-driven science and engineering ISBN: 1009098489 ISBN-13(EAN): 9781009098489 Издательство: Cambridge Academ Рейтинг: Цена: 7918.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Data-driven discovery is revolutionizing how we model, predict, and control complex systems. This text integrates emerging machine learning and data science methods for engineering and science communities. Now with Python and MATLAB (R), new chapters on reinforcement learning and physics-informed machine learning, and supplementary videos and code.
Автор: Janusz Bedkowski Название: Large-Scale Simultaneous Localization and Mapping ISBN: 9811919712 ISBN-13(EAN): 9789811919718 Издательство: Springer Рейтинг: Цена: 18294.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is dedicated for engineers and researchers who would like to increase the knowledge in area of mobile mapping systems.
Автор: Parikshit Narendra Mahalle , Nancy Ambritta P. , S Название: Foundations of Mathematical Modelling for Engineering Problem Solving ISBN: 9811988277 ISBN-13(EAN): 9789811988271 Издательство: Springer Рейтинг: Цена: 18294.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book aims at improving the mathematical modelling skills of users by enhancing the ability to understand, connect, apply and use the mathematical concepts to the problem at hand. This book provides the readers with an in-depth knowledge of the various categories/classes of research problems that professionals, researchers and students might encounter following which the applications of appropriate mathematical models is explained with the help of case studies. The book is targeted at academicians, researchers, students and professionals who belong to all engineering disciplines.
Автор: P. Angelov; K.T. Atanassov; L. Doukovska; M. Hadji Название: Intelligent Systems`2014 ISBN: 3319113127 ISBN-13(EAN): 9783319113128 Издательство: Springer Рейтинг: Цена: 31915.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The papers included in the two proceedings volumes have been subject to a thorough review process by three highly qualified peer reviewers.Comments and suggestions from them have considerable helped improve the quality of the papers but also the division of the volumes into parts, and assignment of the papers to the best suited parts.
Автор: Radek Silhavy; Petr Silhavy; Zdenka Prokopova Название: Applied Computational Intelligence and Mathematical Methods ISBN: 3319676202 ISBN-13(EAN): 9783319676203 Издательство: Springer Рейтинг: Цена: 24392.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Presents applied Computational Intelligence and Mathematical Methods
Written by experts in the field
Dedicated to Applications of Computational Intelligence
Автор: Athanasios C. Antoulas Название: Interpolatory Methods for Model Reduction ISBN: 1611976073 ISBN-13(EAN): 9781611976076 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 10220.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Dynamical systems are a principal tool in the modeling, prediction, and control of a wide range of complex phenomena. As the need for improved accuracy leads to larger and more complex dynamical systems, direct simulation often becomes the only available strategy for accurate prediction or control, inevitably creating a considerable burden on computational resources. This is the main context where one considers model reduction, seeking to replace large systems of coupled differential and algebraic equations that constitute high fidelity system models with substantially fewer equations that are crafted to control the loss of fidelity that order reduction may induce in the system response. Interpolatory methods are among the most widely used model reduction techniques, and Interpolatory Methods for Model Reduction is the first comprehensive analysis of this approach available in a single, extensive resource. It introduces state-of-the-art methods reflecting significant developments over the past two decades, covering both classical projection frameworks for model reduction and data-driven, nonintrusive frameworks.This textbook is appropriate for a wide audience of engineers and other scientists working in the general areas of large-scale dynamical systems and data-driven modeling of dynamics.
Название: Mathematical modeling for intelligent systems ISBN: 1032272252 ISBN-13(EAN): 9781032272252 Издательство: Taylor&Francis Рейтинг: Цена: 15310.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a reference for the applications of mathematical modeling using intelligent techniques in various unique industry problems in the era of Industry 4.0. Providing a thorough introduction to the field of soft computing techniques, the book covers every major technique in AI in a clear and practical style.
Описание: This book presents real-world problems and exploratory research in computational statistics, mathematical modeling, artificial intelligence and software engineering in the context of the intelligent systems.This book constitutes the refereed proceedings of the 3rd Computational Methods in Systems and Software 2019 (CoMeSySo 2019), a groundbreaking online conference that provides an international forum for discussing the latest high-quality research results.
Описание: It presents that potential effects of each independent variable on the dependent variable are not limited to direct and indirect effects. The path analysis shows each independent variable has a pure effect on the dependent variable. So, it can be shown the unique contribution of each independent variable to the variation of the dependent variable.
Описание: In this book, the authors explore technological advances in the fields of multimedia processing and mathematical modeling by highlighting the latest research in this field, discussed at the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD-2019), held on July 08-11, 2019 in Marrakech, Morocco.
Описание: This book presents new knowledge and recent developments in all aspects of computational techniques, mathematical modeling, energy systems, and applications of fuzzy sets and intelligent computing. The book is a collection of best selected research papers presented at the Second International Conference on “Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy (MMCITRE 2021),” organized by the Department of Mathematics, Pandit Deendayal Petroleum University, in association with Forum for Interdisciplinary Mathematics. The book provides innovative works of researchers, academicians, and students in the area of interdisciplinary mathematics, statistics, computational intelligence, and renewable energy.
Описание: The conference proceeding of ICMMCS 2021 presents most recent scientific and technological advances in the fields of engineering mathematics and computational science to strengthen the links in the scientific community. It is a collection of high-quality, peer-reviewed research papers presented at the Second International Conference on Mathematical Modeling and Computational Science (ICMMCS 2021), held online during October 29–30, 2021. The topics covered in the book are mathematical logic and foundations, numerical analysis, neural networks, fuzzy set theory, coding theory, higher algebra, number theory, graph theory and combinatory, computation in complex networks, calculus, differential educations and integration, application of soft computing, knowledge engineering, machine learning, artificial intelligence, big data and data analytics, high-performance computing, network and device security, Internet of Things (IoT).
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