| 書目名稱 | Entropy Measures, Maximum Entropy Principle and Emerging Applications | | 編輯 | Karmeshu | | 視頻video | http://file.papertrans.cn/312/311861/311861.mp4 | | 概述 | Festschrift by invited eminent scholars in the field of entropy measures and maximum entropy applications.Important contributions in the wide field of information technology, soft computing, and nonli | | 叢書名稱 | Studies in Fuzziness and Soft Computing | | 圖書封面 |  | | 描述 | The last two decades have witnessed an enormous growth with regard to ap- plications of information theoretic framework in areas of physical, biological, engineering and even social sciences. In particular, growth has been spectac- ular in the field of information technology,soft computing,nonlinear systems and molecular biology. Claude Shannon in 1948 laid the foundation of the field of information theory in the context of communication theory. It is in- deed remarkable that his framework is as relevant today as was when he 1 proposed it. Shannon died on Feb 24, 2001. Arun Netravali observes "As if assuming that inexpensive, high-speed processing would come to pass, Shan- non figured out the upper limits on communication rates. First in telephone channels, then in optical communications, and now in wireless, Shannon has had the utmost value in defining the engineering limits we face". Shannon introduced the concept of entropy. The notable feature of the entropy frame- work is that it enables quantification of uncertainty present in a system. In many realistic situations one is confronted only with partial or incomplete information in the form of moment, or bounds on these values e | | 出版日期 | Book 2003 | | 關(guān)鍵詞 | Applied Information Theory; Entropy Optimization; Fuzzy; Information; Information Measures; Maximum Entro | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-540-36212-8 | | isbn_softcover | 978-3-642-05531-7 | | isbn_ebook | 978-3-540-36212-8Series ISSN 1434-9922 Series E-ISSN 1860-0808 | | issn_series | 1434-9922 | | copyright | Springer-Verlag Berlin Heidelberg 2003 |
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