Описание: This monograph describes new methods for intelligent pattern recognition using soft computing techniques including neural networks, fuzzy logic, and genetic algorithms.
Автор: Roman Szewczyk; Cezary Zieli?ski; Ma?gorzata Kalic Название: Automation 2019 ISBN: 3030132722 ISBN-13(EAN): 9783030132729 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book consists of papers presented at AUTOMATION2019, an international conference held in Warsaw from March 27 to 29, 2019. It discusses the radical technological changes occurring due to the INDUSTRY 4.0. To follow these changes, both scientists and engineers have to face the challenge of interdisciplinary approach directed at the development of cyber-physical systems. This approach encompasses interdisciplinary theoretical knowledge, numerical modelling and simulation as well as application of artificial intelligence techniques. Both software and physical devices are composed into systems that will increase production efficiency and resource savings. The theoretical results, practical solutions and guidelines presented are valuable for both researchers working in the area of engineering sciences and practitioners looking for solutions to industrial problems.
Автор: Cribb, Julian (Council for the Human Future) Название: Data Science ISBN: 1032254491 ISBN-13(EAN): 9781032254494 Издательство: Taylor&Francis Рейтинг: Цена: 20671.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers the topic of data science in a comprehensive manner and synthesizes both fundamental and advanced topics of a research area that has now reached maturity.
Автор: Mongi A. Abidi; Andrei V. Gribok; Joonki Paik Название: Optimization Techniques in Computer Vision ISBN: 3319463632 ISBN-13(EAN): 9783319463636 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents practical optimization techniques used in image processing and computer vision problems. Ill-posed problems are introduced and used as examples to show how each type of problem is related to typical image processing and computer vision problems. Unconstrained optimization gives the best solution based on numerical minimization of a single, scalar-valued objective function or cost function. Unconstrained optimization problems have been intensively studied, and many algorithms and tools have been developed to solve them. Most practical optimization problems, however, arise with a set of constraints. Typical examples of constraints include: (i) pre-specified pixel intensity range, (ii) smoothness or correlation with neighboring information, (iii) existence on a certain contour of lines or curves, and (iv) given statistical or spectral characteristics of the solution. Regularized optimization is a special method used to solve a class of constrained optimization problems. The term regularization refers to the transformation of an objective function with constraints into a different objective function, automatically reflecting constraints in the unconstrained minimization process. Because of its simplicity and efficiency, regularized optimization has many application areas, such as image restoration, image reconstruction, optical flow estimation, etc.
Optimization plays a major role in a wide variety of theories for image processing and computer vision. Various optimization techniques are used at different levels for these problems, and this volume summarizes and explains these techniques as applied to image processing and computer vision.
Описание: The book is a collection of high-quality, peer-reviewed innovative research papers from the International Conference on Signals, Machines and Automation (SIGMA 2018) held at Netaji Subhas Institute of Technology (NSIT), Delhi, India. The conference offered researchers from academic and industry the opportunity to present their original work and exchange ideas, information, techniques and applications in the field of computational intelligence, artificial intelligence and machine intelligence. The book is divided into two volumes discussing a wide variety of industrial, engineering and scientific applications of the emerging techniques.
Автор: Nakamatsu Название: New Approaches in Intelligent Control ISBN: 3319321668 ISBN-13(EAN): 9783319321660 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume introduces new approaches in intelligent control area fromboth the viewpoints of theory and application. It consists of eleven contributionsby prominent authors from all over the world and an introductory chapter. Thisvolume is strongly connected to another volume entitled 'New Approaches inIntelligent Image Analysis' (Eds. Roumen Kountchev and Kazumi Nakamatsu).The chapters ofthis volume are self-contained and include summary, conclusion and futureworks. Some of the chapters introduce specific case studies of various intelligentcontrol systems and others focus on intelligent theory based control techniqueswith applications. A remarkable specificity of this volume is that threechapters are dealing with intelligent control based on paraconsistent logics.
Автор: Ahad, Md Atiqur Rahman, Antar, Anindya Das, Ahmed, Название: IoT Sensor-Based Activity Recognition ISBN: 3030513785 ISBN-13(EAN): 9783030513788 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offer clear descriptions of the basic structure for the recognition and classification of human activities using different types of sensor module and smart devices in e.g. healthcare, education, monitoring the elderly, daily human behavior, and fitness monitoring.
Описание: This book demonstrates how to apply modern approaches to complex system control in practical applications involving knowledge-based systems. Moreover, specialised forms of knowledge-based systems (like e-learning, social network, and production systems) are introduced with a new formal approach to knowledge system modelling.
Автор: J.R. McDonald; Stephen McArthur; Graeme Burt; Jerr Название: Intelligent knowledge based systems in electrical power engineering ISBN: 0412753200 ISBN-13(EAN): 9780412753206 Издательство: Springer Рейтинг: Цена: 23508.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Providing a background introduction to expert systems, this text takes a forward looking approach to applying expert systems in the electrical power industry. No previous knowledge of expert systems is assumed, but an understanding of electrical transmission and distribution systems is desirable.
Описание: This book describes the latest advances in fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their applications in areas such as: intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction, and optimization of complex problems.
Автор: Roman Szewczyk; Cezary Zieli?ski; Ma?gorzata Kalic Название: Progress in Automation, Robotics and Measuring Techniques ISBN: 3319158341 ISBN-13(EAN): 9783319158341 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents recent progresses in control, automation, robotics, and measuring techniques. The particular chapters present a deep analysis of a specific technical problem which is in general followed by a numerical analysis and simulation and results of an implementation for the solution of a real world problem.
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