An Introduction to Analytical Fuzzy Plane Geometry, Ghosh Debdas, Chakraborty Debjani
Автор: Eilers Название: Introduction to Experimental Mathematics ISBN: 1107156130 ISBN-13(EAN): 9781107156135 Издательство: Cambridge Academ Рейтинг: Цена: 7286.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A recent surge in computer-based experimental approaches to pure mathematics is revolutionizing the way research mathematicians work. As the first of its kind, this textbook provides students with an introduction to the ends and means of experimental mathematics using the popular computer algebra system Maple.
Автор: Lasserre Название: An Introduction to Polynomial and Semi-Algebraic Optimization ISBN: 110763069X ISBN-13(EAN): 9781107630697 Издательство: Cambridge Academ Рейтинг: Цена: 7286.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is the first comprehensive introduction to the powerful moment approach for solving global optimization problems. Graduate students, engineers and researchers entering the field can use this book to understand, experiment with and master this new approach through the simple worked examples provided.
Автор: Rubin Название: Introduction to Radon Transforms ISBN: 0521854598 ISBN-13(EAN): 9780521854597 Издательство: Cambridge Academ Рейтинг: Цена: 26136.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This comprehensive introduction for students and researchers explores Radon transforms and related operators when the basic manifolds are the real Euclidean space, the unit sphere, and the real hyperbolic space. Applications include analysis, integral and convex geometry, and medical imaging. Open problems and recent results are also presented.
Автор: Debdas Ghosh; Debjani Chakraborty Название: An Introduction to Analytical Fuzzy Plane Geometry ISBN: 3030157210 ISBN-13(EAN): 9783030157210 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers a rigorous mathematical analysis of fuzzy geometrical ideas. It demonstrates the use of fuzzy points for interpreting an imprecise location and for representing an imprecise line by a fuzzy line. Further, it shows that a fuzzy circle can be used to represent a circle when its description is not known precisely, and that fuzzy conic sections can be used to describe imprecise conic sections. Moreover, it discusses fundamental notions on fuzzy geometry, including the concepts of fuzzy line segment and fuzzy distance, as well as key fuzzy operations, and includes several diagrams and numerical illustrations to make the topic more understandable. The book fills an important gap in the literature, providing the first comprehensive reference guide on the fuzzy mathematics of imprecise image subsets and imprecise geometrical objects. Mainly intended for researchers active in fuzzy optimization, it also includes chapters relevant for those working on fuzzy image processing and pattern recognition. Furthermore, it is a valuable resource for beginners interested in basic operations on fuzzy numbers, and can be used in university courses on fuzzy geometry, dealing with imprecise locations, imprecise lines, imprecise circles, and imprecise conic sections.
Автор: Lasserre Название: An Introduction to Polynomial and Semi-Algebraic Optimization ISBN: 1107060575 ISBN-13(EAN): 9781107060579 Издательство: Cambridge Academ Рейтинг: Цена: 21226.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is the first comprehensive introduction to the powerful moment approach for solving global optimization problems. Graduate students, engineers and researchers entering the field can use this book to understand, experiment with and master this new approach through the simple worked examples provided.
Автор: Kai-Yuan Cai Название: Introduction to Fuzzy Reliability ISBN: 0792397371 ISBN-13(EAN): 9780792397373 Издательство: Springer Рейтинг: Цена: 27944.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduction to Fuzzy Reliability treats fuzzy methodology in hardware reliability and software reliability in a relatively systematic manner. Chapter 4 presents the basic theory of profust reliability, whereas Chapter 5 analyzes the profust reliability behavior of a number of engineering systems.
Автор: Chander Mohan Название: An Introduction to Fuzzy Set Theory and Fuzzy Logic ISBN: 9388971019 ISBN-13(EAN): 9789388971010 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 4158.00 р. Наличие на складе: Поставка под заказ.
Описание: This book presents the rudiments of fuzzy set theory and fuzzy logic and related topics and their applications in a simple and easy-to-understand manner. Written with a general type of reader in mind, the book avoids the extremes of abstract mathematical proofs as well as specialized technical details of different areas of application. The book is intended to motivate the readers in getting a clear grasp of the basic concepts of the subject and its possible applications. A special feature of the book is that the exercises at the end of each chapter are preceded by a set of short-answer review-type questions. These are intended to help the reader in developing the confidence that he/she has correctly grasped the concepts introduced in the chapter. The book can be used as a text for the study of the topics of fuzzy set theory, fuzzy logic and their possible applications at the undergraduate, graduate and postgraduate students of mathematics, engineering and other disciplines of science, arts and medicine. In this book: Introduction Fuzzy Sets Operations on Fuzzy Sets Fuzzy Numbers Fuzzy Relations and Fuzzy Graphs Fuzzy Functions and Calculus of Fuzzy Functions Measures of Vagueness and Uncertainty Evidence Theory, Possibility Theory and Probability Theory Linguistic Variables, Fuzzy Rules and Fuzzy Propositions Fuzzy Logic and Approximate Reasoning Decision Making in a Fuzzy Environment Construction of Fuzzy Sets and Defuzzification Fuzzy Rules Based Models and Fuzzy Systems Engineering and Other Applications Intutionistic Fuzzy Sets, Rough Sets, Vague Sets and Soft Sets
Автор: Chander Mohan Название: An Introduction to Fuzzy Set Theory and Fuzzy Logic ISBN: 9388386949 ISBN-13(EAN): 9789388386944 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 4158.00 р. Наличие на складе: Поставка под заказ.
Описание: This book presents the rudiments of fuzzy set theory and fuzzy logic and related topics and their applications in a simple and easy-to-understand manner. Written with a general type of reader in mind, the book avoids the extremes of abstract mathematical proofs as well as specialized technical details of different areas of application. The book is intended to motivate the readers in getting a clear grasp of the basic concepts of the subject and its possible applications. A special feature of the book is that the exercises at the end of each chapter are preceded by a set of short-answer review-type questions. These are intended to help the reader in developing the confidence that he/she has correctly grasped the concepts introduced in the chapter. The book can be used as a text for the study of the topics of fuzzy set theory, fuzzy logic and their possible applications at the undergraduate, graduate and postgraduate students of mathematics, engineering and other disciplines of science, arts and medicine. In this book: Introduction Fuzzy Sets Operations on Fuzzy Sets Fuzzy Numbers Fuzzy Relations and Fuzzy Graphs Fuzzy Functions and Calculus of Fuzzy Functions Measures of Vagueness and Uncertainty Evidence Theory, Possibility Theory and Probability Theory Linguistic Variables, Fuzzy Rules and Fuzzy Propositions Fuzzy Logic and Approximate Reasoning Decision Making in a Fuzzy Environment Construction of Fuzzy Sets and Defuzzification Fuzzy Rules Based Models and Fuzzy Systems Engineering and Other Applications Intutionistic Fuzzy Sets, Rough Sets, Vague Sets and Soft Sets
Автор: Liu Zhiyuan, Zhou Jie Название: Introduction to Graph Neural Networks ISBN: 1681737655 ISBN-13(EAN): 9781681737652 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 6376.00 р. Наличие на складе: Поставка под заказ.
Описание: Graphs are useful data structures in complex real-life applications such as modeling physical systems, learning molecular fingerprints, controlling traffic networks, and recommending friends in social networks.
However, these tasks require dealing with non-Euclidean graph data that contains rich relational information between elements and cannot be well handled by traditional deep learning models (e.g., convolutional neural networks (CNNs) or recurrent neural networks (RNNs)). Nodes in graphs usually contain useful feature information that cannot be well addressed in most unsupervised representation learning methods (e.g., network embedding methods). Graph neural networks (GNNs) are proposed to combine the feature information and the graph structure to learn better representations on graphs via feature propagation and aggregation. Due to its convincing performance and high interpretability, GNN has recently become a widely applied graph analysis tool.
This book provides a comprehensive introduction to the basic concepts, models, and applications of graph neural networks. It starts with the introduction of the vanilla GNN model. Then several variants of the vanilla model are introduced such as graph convolutional networks, graph recurrent networks, graph attention networks, graph residual networks, and several general frameworks. Variants for different graph types and advanced training methods are also included. As for the applications of GNNs, the book categorizes them into structural, non-structural, and other scenarios, and then it introduces several typical models on solving these tasks. Finally, the closing chapters provide GNN open resources and the outlook of several future directions.
Автор: Liu Zhiyuan, Zhou Jie Название: Introduction to Graph Neural Networks ISBN: 1681737671 ISBN-13(EAN): 9781681737676 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 9286.00 р. Наличие на складе: Поставка под заказ.
Описание: Graphs are useful data structures in complex real-life applications such as modeling physical systems, learning molecular fingerprints, controlling traffic networks, and recommending friends in social networks.
However, these tasks require dealing with non-Euclidean graph data that contains rich relational information between elements and cannot be well handled by traditional deep learning models (e.g., convolutional neural networks (CNNs) or recurrent neural networks (RNNs)). Nodes in graphs usually contain useful feature information that cannot be well addressed in most unsupervised representation learning methods (e.g., network embedding methods). Graph neural networks (GNNs) are proposed to combine the feature information and the graph structure to learn better representations on graphs via feature propagation and aggregation. Due to its convincing performance and high interpretability, GNN has recently become a widely applied graph analysis tool.
This book provides a comprehensive introduction to the basic concepts, models, and applications of graph neural networks. It starts with the introduction of the vanilla GNN model. Then several variants of the vanilla model are introduced such as graph convolutional networks, graph recurrent networks, graph attention networks, graph residual networks, and several general frameworks. Variants for different graph types and advanced training methods are also included. As for the applications of GNNs, the book categorizes them into structural, non-structural, and other scenarios, and then it introduces several typical models on solving these tasks. Finally, the closing chapters provide GNN open resources and the outlook of several future directions.
Описание: This book provides concise yet thorough coverage of the fundamentals and technology of fuzzy sets. Timely topics and recent advances in fuzzy modeling and its principles, neurocomputing, fuzzy set estimation, granulation-degranulation, and fuzzy sets of higher type and order are discussed.
Автор: Rainer Sandau (Ed.) Название: Digital Airborne Camera: Introduction and Technology ISBN: 1402088779 ISBN-13(EAN): 9781402088773 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Поставка под заказ.
Описание: Digital airborne cameras are penetrating the fields of photogrammetry and remote sensing. This book describes the components of a digital airborne camera from the object to be imaged to the mass memory device. It describes the image quality influencing processes in nature. It also includes the description of example systems.
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