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Kleinster Preis: 148.82 EUR, größter Preis: 233.99 EUR, Mittelwert: 205.62 EUR
Applied Research in Uncertainty Modeling and Analysis
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Applied Research in Uncertainty Modeling and Analysis - Taschenbuch

ISBN: 9780387235356

Gebundene Ausgabe, ID: 594278767

Springer. Paperback. New. Paperback. 614 pages. Dimensions: 9.2in. x 6.1in. x 1.4in.The management and processing of uncertain information has shown itself to be a crucial issue in the development of intelligent systems, beginning withits appearance in the such systems as Mycin and Prospector. The papers in this volume reflect the current range of interests or researchers in thefield. Currently, the major approaches to uncertainty include fuzzy set theory, probabilistic methods, mathematical theory of evidence, non-standardlogics such as default reasoning, and possibility theory. The initial part of the volume is devoted to papers dealing with the foundations of these approaches, where recent attempts have been made to develop systems combining multiple approaches. A significant part of the book looks at the management of uncertainty in a number of the paradigmatic domainsof intelligent systems such as expert systems, decision making, databases, image processing, and reasoning networks. The papers are extended versions of presentations at the third international conference on information processing and management of uncertainty in knowledge-based systems. The proceedings of the two preceding IPMU conferences appear as LNCS 286 and LNCS 313. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN., Springer, Springer. Hardcover. New. Hardcover. 546 pages. Dimensions: 9.4in. x 6.1in. x 1.2in.Uncertainty has been a concern to engineers, managers, and scientists for many years in engineering and sciences. Uncertainty has for a long time been considered synonymous with random, stochastic, statistic, or probabilistic. Since the early sixties views on uncertainty have become more heterogeneous and more tools that model uncertainty than statistics have been proposed by several engineers and scientists. The tool method to model uncertainty in a specific context should really be choices by considering the features of the phenomenon under consideration not independently of what is known about the system and what causes uncertainty. Applied Research in Uncertainty Modeling Analysis concentrates on general aspects of uncertainty, modeling, and methods, and consists of large numbers of examples on engineering and sciences. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN, Momence,IL, Commerce,GA., Springer

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Applied Research In Uncertainty Modeling And Analysis
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Applied Research In Uncertainty Modeling And Analysis - neues Buch

2003, ISBN: 9780387235356

ID: 5931804

The application areas of uncertainty are numerous and diverse, including all fields of engineering, computer science, systems control and finance. Determining appropriate ways and methods of dealing with uncertainty has been a constant challenge. The theme for this book is better understanding and the application of uncertainty theories. This book, with invited chapters, deals with the. The application areas of uncertainty are numerous and diverse, including all fields of engineering, computer science, systems control and finance. Determining appropriate ways and methods of dealing with uncertainty has been a constant challenge. The theme for this book is better understanding and the application of uncertainty theories. This book, with invited chapters, deals with the uncertainty phenomena in diverse fields. The book is an outgrowth of the Fourth International Symposium on Uncertainty Modeling and Analysis (ISUMA), which was held at the center of Adult Education, College Park, Maryland, in September 2003. All of the chapters have been carefully edited, following a review process in which the editorial committee scrutinized each chapter. The contents of the book are reported in twenty-three chapters, covering more than. pages. This book is divided into six main sections. Part I (Chapters 1-4) presents the philosophical and theoretical foundation of uncertainty, new computational directions in neural networks, and some theoretical foundation of fuzzy systems. Part I1 (Chapters 5-8) reports on biomedical and chemical engineering applications. The sections looks at noise reduction techniques using hidden Markov models, evaluation of biomedical signals using neural networks, and changes in medical image detection using Markov Random Field and Mean Field theory. One of the chapters reports on optimization in chemical engineering processes. Books, Science and Geography~~Mathematics~~Probability & Statistics, Applied Research In Uncertainty Modeling And Analysis~~Book~~9780387235356, , , , , , , , , ,, [PU: Springer]

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Applied Research in Uncertainty Modeling and Analysis (International Series in Intelligent Technologies) - Bilal Ayyub
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Bilal Ayyub:
Applied Research in Uncertainty Modeling and Analysis (International Series in Intelligent Technologies) - gebrauchtes Buch

2003

ISBN: 0387235353

ID: 5138383

The application areas of uncertainty are numerous and diverse, including all fields of engineering, computer science, systems control and finance. Determining appropriate ways and methods of dealing with uncertainty has been a constant challenge. The theme for this book is better understanding and the application of uncertainty theories. This book, with invited chapters, deals with the uncertainty phenomena in diverse fields. The book is an outgrowth of the Fourth International Symposium on Uncertainty Modeling and Analysis (ISUMA), which was held at the center of Adult Education, College Park, Maryland, in September 2003. All of the chapters have been carefully edited, following a review process in which the editorial committee scrutinized each chapter. The contents of the book are reported in twenty-three chapters, covering more than . . ... pages. This book is divided into six main sections. Part I (Chapters 1-4) presents the philosophical and theoretical foundation of uncertainty, new computational directions in neural networks, and some theoretical foundation of fuzzy systems. Part I1 (Chapters 5-8) reports on biomedical and chemical engineering applications. The sections looks at noise reduction techniques using hidden Markov models, evaluation of biomedical signals using neural networks, and changes in medical image detection using Markov Random Field and Mean Field theory. One of the chapters reports on optimization in chemical engineering processes. business and finance,business and investing,economic theory,economics,engineering,international,management and leadership,operations research,science and math,technology Business & Investing, Springer

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Applied Research in Uncertainty Modeling and Analysis - Bilal M. Ayyub
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Applied Research in Uncertainty Modeling and Analysis - neues Buch

2003, ISBN: 0387235353

ID: 12515482657

[EAN: 9780387235356], Neubuch, [PU: Berlin Springer], ANALYSIS, UNSICHERHEIT, Technology|Engineering|General, This item is printed on demand - Print on Demand Neuware - The application areas of uncertainty are numerous and diverse, including all fields of engineering, computer science, systems control and finance. Determining appropriate ways and methods of dealing with uncertainty has been a constant challenge. The theme for this book is better understanding and the application of uncertainty theories. This book, with invited chapters, deals with the uncertainty phenomena in diverse fields. The book is an outgrowth of the Fourth International Symposium on Uncertainty Modeling and Analysis (ISUMA), which was held at the center of Adult Education, College Park, Maryland, in September 2003. All of the chapters have been carefully edited, following a review process in which the editorial committee scrutinized each chapter. The contents of the book are reported in twenty-three chapters, covering more than . . . pages. This book is divided into six main sections. Part I (Chapters 1-4) presents the philosophical and theoretical foundation of uncertainty, new computational directions in neural networks, and some theoretical foundation of fuzzy systems. Part I1 (Chapters 5-8) reports on biomedical and chemical engineering applications. The sections looks at noise reduction techniques using hidden Markov models, evaluation of biomedical signals using neural networks, and changes in medical image detection using Markov Random Field and Mean Field theory. One of the chapters reports on optimization in chemical engineering processes. 545 pp. Englisch

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Applied Research in Uncertainty Modeling and Analysis - Nii O. Attoh-Okine; Bilal M. Ayyub
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2004, ISBN: 9780387235356

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Applied Research in Uncertainty Modeling and Analysis
Autor:

Ayyub, N. O. Attoh-Okine and Bilal M.

Titel:

Applied Research in Uncertainty Modeling and Analysis

ISBN-Nummer:

0387235353

Uncertainty has been a concern to engineers, managers, and scientists for many years in engineering and sciences. Uncertainty has for a long time been considered synonymous with random, stochastic, statistic, or probabilistic. Since the early sixties views on uncertainty have become more heterogeneous and more tools that model uncertainty than statistics have been proposed by several engineers and scientists. The tool/ method to model uncertainty in a specific context should really be choices by considering the features of the phenomenon under consideration not independently of what is known about the system and what causes uncertainty.Applied Research in Uncertainty Modeling Analysis concentrates on general aspects of uncertainty, modeling, and methods, and consists of large numbers of examples on engineering and sciences.

Detailangaben zum Buch - Applied Research in Uncertainty Modeling and Analysis


EAN (ISBN-13): 9780387235356
ISBN (ISBN-10): 0387235353
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2005
Herausgeber: Springer-Verlag GmbH
552 Seiten
Gewicht: 1,011 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 21.05.2007 14:49:08
Buch zuletzt gefunden am 25.10.2016 13:16:20
ISBN/EAN: 0387235353

ISBN - alternative Schreibweisen:
0-387-23535-3, 978-0-387-23535-6

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