Applied research in uncertainty modeling and analysis
- 其他作者: Attoh-Okine, Nii O. , Ayyub, Bilal M.
- 出版: New York : Springer 2005.
- 稽核項: 1 online resource (xvi, 545 pages) :illustrations.
- 叢書名: The international series in intelligent technologies ;[20]
- 標題: Uncertainty Mathematical models. , Economie de l'entreprise. , Onzekerheid. , Uncertainty , Engineering Statistical methods. , Electronic books. , Fuzzy systems , Stochastische methoden. , Neurale netwerken. , Affaires. , MATHEMATICS General. , Engineering , Statistical methods. , Mathematical models. , MATHEMATICS , Industrial applicationsMathematical models. , Science économique. , Fuzzy systems Industrial applications -- Mathematical models. , General. , Uncertainty Industrial applications -- Mathematical models.
- ISBN: 0387235353 , 9780387235356
- 試查全文@TNUA:
- 附註: Includes bibliographical references and index. Self-Organizing Neural Networks by Dynamic and Spatial Changing Weights -- Uncertainty in the Automation of Ontology Matching -- Uncertainty Modeling of Data and Uncertainty Propagation for Risk Studies -- Development of Quadratic Neural Unit with Applications to Pattern Classification -- Quadratic and Cubic Neural Units for Identification and Fast State Feedback Control of Unknown Non-Linear Dynamic Systems -- Crisp Simulation of Fuzzy Computations -- Exploratory Modeling Managing Uncertain Risk -- Multi-Interval Elicitation of Random Intervals for Engineering Reliability Analysis -- Biological Applications -- Engineering and Sciences -- Transportation Engineering -- Structural Engineering.
- 摘要: "In this overview of the field, the authors provide broad coverage of uncertainty analysis/modeling and its application. Applied Research in Uncertainty Modeling and Analysis presents the perspectives of various researchers and practitioners on uncertainty analysis and modeling outside their own fields and domain expertise. Rather than focusing explicitly on theory, the authors use real-world examples to demonstrate the strength of the chosen methodology."--Jacket
- 電子資源: https://dbs.tnua.edu.tw/login?url=https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=130164
- 系統號: 005322136
- 資料類型: 電子書
- 讀者標籤: 需登入
- 引用網址: 複製連結
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.
來源: Google Book
來源: Google Book
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