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This book offers a comprehensive reference guide for the theory and practice of intelligent and fuzzy techniques in Aviation 4.0. It;
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covering a broad cross section of technical disciplines. Fuzzy Intelligent Systems: Methodologies, Techniques, and Applications comprises state;
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complex systems with poorly defined dynamics. Today's engineers need a working knowledge of the principles and techniques of fuzzy logic;
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: an introduction to the fundamentals of neural networks, fuzzy logic, and evolutionary computing a rigorous treatment of intelligent;
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design. Moreover, by extending all the main aspects of classical customer-oriented product design to its intelligent and fuzzy counterparts, the;
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intelligent systems. This book discusses hybrid algorithms, techniques, and implementations of fuzzy logic. The main focus of the book is on the;
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techniques for gathering and processing information with methods of approximate reasoning. This enables an intelligent system to better emulate human;
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This book covers different topics from soft computing and neuro-fuzzy systems, including intelligent neuro-fuzzy models, adaptive neuro;
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Intelligent and adaptive techniques are rapidly being used in all stages of medical treatment, from the initial diagnosis to planning;
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Intelligent and adaptive techniques are rapidly being used in all stages of medical treatment, from the initial diagnosis to planning;
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of intelligent machining technology in the manufacturing of complex aviation components, such as aero-engine blisk, casing parts and blades. It not only;
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of intelligent machining technology in the manufacturing of complex aviation components, such as aero-engine blisk, casing parts and blades. It not only;
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on September 4-6, 2016, which are mainly related to theoretical research in the area of intelligent systems. The main focus is on novel;
Vergelijkbare producten zoals Intuitionistic Fuzziness and Other Intelligent Theories and Their Applications
This book presents recently developed intelligent techniques with applications and theory in the area of quality management. The involved;
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artificial intelligence, and comprises fuzzy logic, neural networks and probabilistic reasoning techniques. It tries to imitate human reasoning in a;
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Providing a thorough introduction to the field of soft computing techniques, Intelligent Systems: Modeling, Optimization, and Control;
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techniques, it incorporates knowledge-based systems, computational intelligence, and their hybrids. Using clear and concise language, Intelligent;
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of several intelligent computing paradigms, including fuzzy logic, neural networks and bio-inspired optimization algorithms, which can be used to;
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neural networks, fuzzy systems, evolutionary algorithms, hybrid intelligent systems, uncertain reasoning techniques, and other machine learning;
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of intelligent systems, as well as improve the performance and reduce the cost of intelligent and smart products appearing in the commercial market;
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This book aims to introduce the state-of-the-art research of stability/performance analysis and optimal synthesis methods for fuzzy-model;
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This book aims to introduce the state-of-the-art research of stability/performance analysis and optimal synthesis methods for fuzzy-model;
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Negnevitsky shows students how to build intelligent systems drawing on techniques from knowledge-based systems, neural networks, fuzzy;
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as a hybrid intelligent system combining modular neural net-works and fuzzy systems. The different responses of the hybrid system are;
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This book describes the latest advances in fuzzy logic, neural networks, and optimization algorithms, as well as their hybrid intelligent;
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, combining classical control techniques of dynamic modeling and control with new approaches discussed in the text. Addresses such intelligent systems;
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self-study, as a reference, and ideal as a textbook, Fuzzy Neural Intelligent Systems is accessible to students with a basic background;
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