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Fuzzy Logic in Artificial Intelligence, Anca Ralescu


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Автор: Anca Ralescu
Название:  Fuzzy Logic in Artificial Intelligence
ISBN: 9783540584094
Издательство: Springer
Классификация:
ISBN-10: 3540584099
Обложка/Формат: Paperback
Страницы: 136
Вес: 0.21 кг.
Дата издания: 28.09.1994
Серия: Lecture Notes in Artificial Intelligence
Язык: English
Размер: 234 x 156 x 8
Основная тема: Computer Science
Подзаголовок: IJCAI '93 Workshop, Chamberry, France, August 28, 1993. Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This volume constitutes the proceedings of the 2nd Fuzzy Logic in AI Workshop, held in Chambery, France in August 1993. The object of the conference was to provide researchers in both artificial intelligence and fuzzy engineering with material of mutual benefit.


Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing

Автор: Roger Lee; Naohiro Ishii
Название: Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing
ISBN: 3642101739 ISBN-13(EAN): 9783642101731
Издательство: Springer
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Цена: 23508.00 р.
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Описание: This volume includes the best papers of the 10th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing. The conference was held in Daegu, Korea on May 27-29, 2009.

Geophysical Applications of Artificial Neural Networks and Fuzzy Logic

Автор: Aminzadeh Fred, Sandham W., Leggett M.
Название: Geophysical Applications of Artificial Neural Networks and Fuzzy Logic
ISBN: 1402017294 ISBN-13(EAN): 9781402017292
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book is the first major text to encompass the wide diversity of geophysical applications of artificial neural networks (ANNs) and fuzzy logic (FZ). Each chapter, written by internationally-renowned experts in their field, represents a specific geophysical application, ranging from first-break picking and trace editing encountered in seismic exploration, through well-log lithology determination, to electromagnetic exploration and earthquake seismology. The book offers a well-balanced division of contributions from industry and academia, and includes a comprehensive, up-to-date bibliography covering all major publications in geophysical applications of ANNs and FZ. A special feature of this volume is the preface written by Professor Fred Aminzadeh, eminent authority in the field of artificial intelligence and geophysics. The enclosed CD-ROM contains full colour figures and searchable files, as well as short biographies of the editors.

Fuzzy Logic in Artificial Intelligence

Автор: Erich P. Klement; Wolfgang Slany
Название: Fuzzy Logic in Artificial Intelligence
ISBN: 3540569200 ISBN-13(EAN): 9783540569206
Издательство: Springer
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Цена: 4890.00 р.
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Описание: This volume contains the proceedings of the 8th Austrian Artificial Intelligence Conference, held in Linz in June 1993. It includes invited papers on the role of fuzzy logic in the conception and design of intelligent systems and a contextual approach for AI systems development.

Fuzzy Logic in Artificial Intelligence: Towards Intelligent Systems

Автор: Trevor Martin; Anca L. Ralescu
Название: Fuzzy Logic in Artificial Intelligence: Towards Intelligent Systems
ISBN: 3540624740 ISBN-13(EAN): 9783540624745
Издательство: Springer
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Цена: 9781.00 р.
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Описание: The 20 revised full conference papers included in this book are organized into sections on hybrid and novel architectures, machine learning and data mining, image processing and computer vision, and theoretical developments.

Fuzzy Logic in Artificial Intelligence

Автор: Anca L. Ralescu; James G. Shanahan
Название: Fuzzy Logic in Artificial Intelligence
ISBN: 3540663746 ISBN-13(EAN): 9783540663744
Издательство: Springer
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Цена: 9781.00 р.
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Описание: This text presents papers from the IJCAI`97 Workshop on fuzzy logic in artificial intelligence. Three papers are devoted to the general relevance of fuzzy logic and fuzzy sets to AI. The remainder address issues ranging from theory to application in areas like knowledge representation and robotics.

Mathematical Models for Handling Partial Knowledge in Artificial Intelligence

Автор: Giulianella Coletti; Didier Dubois; R. Scozzafava
Название: Mathematical Models for Handling Partial Knowledge in Artificial Intelligence
ISBN: 0306450763 ISBN-13(EAN): 9780306450761
Издательство: Springer
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Цена: 22429.00 р.
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Описание: Petr Hajek shows that reasoning in fuzzy logic may be put on a strict logical (formal) basis, so contributing to our understanding of what fuzzy logic is and what one is doing when applying fuzzy reasoning.

Industrial and Engineering Applications of Artificial Intelligence and Expert Systems

Автор: Fevzi Belli; Franz J. Radermacher
Название: Industrial and Engineering Applications of Artificial Intelligence and Expert Systems
ISBN: 354055601X ISBN-13(EAN): 9783540556015
Издательство: Springer
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Цена: 18167.00 р.
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Описание: A volume of proceedings based on an international conference concerned with the industrial and engineering applications of artificial intelligence. The papers discuss fuzzy logic and control, robotics, CAD, computer vision, architecture, fault diagnosis and much more.

Cognitive Science and Artificial Intelligence

Автор: Gurumoorthy
Название: Cognitive Science and Artificial Intelligence
ISBN: 9811066973 ISBN-13(EAN): 9789811066979
Издательство: Springer
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Цена: 6986.00 р.
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Описание: The book reflects the state-of-the-art in Artificial Intelligence and Cognitive Science, and covers theory, algorithms, numerical simulation, error and uncertainty analysis, as well novel applications of new processing techniques in Biomedical Informatics, Computer Science and its applied areas.

An Artificial Intelligence Approach to Integrated Circuit Floorplanning

Автор: Marwan A. Jabri
Название: An Artificial Intelligence Approach to Integrated Circuit Floorplanning
ISBN: 3540539581 ISBN-13(EAN): 9783540539582
Издательство: Springer
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Цена: 16070.00 р.
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Описание: This work presents an artificial intelligence approach to top-down floorplanning of integrated circuits (IC). The approach divides the floorplanning process into separate knowledge-based and algorithmic tasks. This enables the use of IC specialized knowledge to drive sophisticated algorithms.


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