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Applied Research in Uncertainty Modeling and Analysis (International Series in Intelligent Technologies) - Bilal M. Ayyub
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2003, ISBN: 0387235353

[SR: 2440597], Hardcover, [EAN: 9780387235356], Springer, Springer, Book, [PU: Springer], Springer, 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., 2602, Theory, 2581, Economics, 3, Business & Money, 1000, Subjects, 283155, Books, 2594, Economics, 2657, International, 3, Business & Money, 1000, Subjects, 283155, Books, 2687, Operations Research, 355561011, Processes & Infrastructure, 3, Business & Money, 1000, Subjects, 283155, Books, 173515, Engineering, 226498, Aerospace, 13647, Automotive, 226506, Bioengineering, 227539, Chemical, 227541, Civil & Environmental, 227543, Computer Modelling, 8082404011, Construction, 52168011, Design, 227544, Electrical & Electronics, 52215011, Energy Production & Extraction, 227550, Industrial, Manufacturing & Operational Systems, 107157011, Marine Engineering, 226704, Materials & Material Science, 13778, Mechanical, 226719, Military Technology, 13803, Reference, 13809, Telecommunications & Sensors, 173507, Engineering & Transportation, 1000, Subjects, 283155, Books, 14631, Technology, 14637, History of Technology, 14639, Nanotechnology, 14644, Safety & Health, 271634011, Social Aspects, 75, Science & Math, 1000, Subjects, 283155, Books, 491586, Economic Theory, 491584, Economics, 468220, Business & Finance, 465600, New, Used & Rental Textbooks, 2349030011, Specialty Boutique, 283155, Books, 468212, Engineering, 491336, Aeronautical Engineering, 491338, Chemical Engineering, 491340, Civil Engineering, 491342, Electrical & Electronic Engineering, 684258011, Environmental Engineering, 491346, Industrial Engineering, 491348, Mechanical Engineering, 684259011, Nuclear Engineering, 465600, New, Used & Rental Textbooks, 2349030011, Specialty Boutique, 283155, Books

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Applied Research in Uncertainty Modeling and Analysis (International Series in Intelligent Technologies) - Bilal M. Ayyub
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
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Bilal M. Ayyub:
Applied Research in Uncertainty Modeling and Analysis (International Series in Intelligent Technologies) - gebunden oder broschiert

2003, ISBN: 0387235353

[SR: 2440597], Hardcover, [EAN: 9780387235356], Springer, Springer, Book, [PU: Springer], Springer, 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., 2602, Theory, 2581, Economics, 3, Business & Money, 1000, Subjects, 283155, Books, 2594, Economics, 2657, International, 3, Business & Money, 1000, Subjects, 283155, Books, 2687, Operations Research, 355561011, Processes & Infrastructure, 3, Business & Money, 1000, Subjects, 283155, Books, 173515, Engineering, 226498, Aerospace, 13647, Automotive, 226506, Bioengineering, 227539, Chemical, 227541, Civil & Environmental, 227543, Computer Modelling, 8082404011, Construction, 52168011, Design, 227544, Electrical & Electronics, 52215011, Energy Production & Extraction, 227550, Industrial, Manufacturing & Operational Systems, 107157011, Marine Engineering, 226704, Materials & Material Science, 13778, Mechanical, 226719, Military Technology, 13803, Reference, 13809, Telecommunications & Sensors, 173507, Engineering & Transportation, 1000, Subjects, 283155, Books, 14631, Technology, 14637, History of Technology, 14639, Nanotechnology, 14644, Safety & Health, 271634011, Social Aspects, 75, Science & Math, 1000, Subjects, 283155, Books, 491586, Economic Theory, 491584, Economics, 468220, Business & Finance, 465600, New, Used & Rental Textbooks, 2349030011, Specialty Boutique, 283155, Books, 468212, Engineering, 491336, Aeronautical Engineering, 491338, Chemical Engineering, 491340, Civil Engineering, 491342, Electrical & Electronic Engineering, 684258011, Environmental Engineering, 491346, Industrial Engineering, 491348, Mechanical Engineering, 684259011, Nuclear Engineering, 465600, New, Used & Rental Textbooks, 2349030011, Specialty Boutique, 283155, Books

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2003, ISBN: 0387235353

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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

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.

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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 29.10.2017 18:56:01
ISBN/EAN: 0387235353

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


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