Introduction to Type-2 Fuzzy Logic Control, Mendel Jerry

Автор: Buckley James J., Eslami Esfandiar
Название: An Introduction to Fuzzy Logic and Fuzzy Sets
ISBN: 3790814474 ISBN-13(EAN): 9783790814477
Издательство: Springer
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Цена: 7680.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book is to be the starting point for any curriculum in fuzzy systems in fields like computer science, mathematics, business/economics and engineering. It covers the basics leading to: fuzzy clustering, fuzzy pattern recognition, fuzzy database, fuzzy image processing, soft computing, fuzzy applications in operations research, fuzzy decision making, fuzzy rule based systems, fuzzy systems modeling, fuzzy mathematics. It is not a book designed for researchers - it is where you really learn the "basics" needed for any of the above-mentioned applications.

Название: Introduction to statistical relational learning
ISBN: 0262072882 ISBN-13(EAN): 9780262072885
Издательство: MIT Press
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Цена: 10692.00 р.
Наличие на складе: Нет в наличии.

Описание: Advanced statistical modeling and knowledge representation techniques for a newly emerging area of machine learning and probabilistic reasoning; includes introductory material, tutorials for different proposed approaches, and applications.

Автор: Oscar Castillo
Название: Type-2 Fuzzy Logic in Intelligent Control Applications
ISBN: 3642270158 ISBN-13(EAN): 9783642270154
Издательство: Springer
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Цена: 15672.00 р.
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Описание: Hybrid intelligent systems combine intelligent computing paradigms including fuzzy logic and bio-inspired optimization algorithms to produce powerful automatic control systems. This volume explains several important control applications of Type-2 fuzzy logic.

Автор: Revesz Peter
Название: Introduction to Constraint Databases
ISBN: 0387987290 ISBN-13(EAN): 9780387987293
Издательство: Springer
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Цена: 9776.00 р.
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Описание: Presents the theory and applications of "constraint database" systems, which provide methods for the design of data models and query languages. This resource is useful for advanced students, practitioners, and professionals in computer science, database systems, and information systems.

Автор: H.B. Mitchell
Название: Multi-Sensor Data Fusion: An Introduction
ISBN: 3642090672 ISBN-13(EAN): 9783642090677
Издательство: Springer
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Цена: 13059.00 р.
Наличие на складе: Поставка под заказ.

Описание: This textbook provides a comprehensive introduction to the theories and techniques of multi-sensor data fusion. No previous knowledge of multi-sensor data fusion is assumed, although some familiarity with the basic tools of linear algebra, calculus and simple probability theory is recommended.