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Militarized Conflict Modeling Using Computational Intelligence

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出版日:2011/09/14 作者:Tshilidzi Marwala; Monica Lagazio  出版社:Springer Verlag  裝訂:精裝
Militarized Conflict Modeling Using Computational Intelligence examines the application of computational intelligence methods to model conflict. Traditionally, conflict has been modeled using game the
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出版日:2009/05/04 作者:Hirotaka Nakayama; Yeboon Yun; Min Yoon  出版社:Springer Verlag  裝訂:精裝
This book highlights a new direction of multiobjective optimzation, which has never been treated in previous publications. When the function form of objective functions is not known explicitly as enco
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出版日:2016/08/09 作者:Antonio Jose Da Silva Neto (EDT); Orestes Llanes Santiago (EDT); Geraldo Nunes Silva (EDT)  出版社:Springer Verlag  裝訂:精裝
This book brings together a rich selection of studies in mathematical modeling and computational intelligence, with application in several fields of engineering, like automation, biomedical, chemical,
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出版日:2012/11/08 作者:Witold Pedrycz (EDT); Shyi-ming Chen (EDT)  出版社:Springer Verlag  裝訂:精裝
Temporal and spatiotemporal data form an inherent fabric of the society as we are faced with streams of data coming from numerous sensors, data feeds, recordings associated with numerous areas of appl
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出版日:2010/12/25 作者:W. H. Tang  出版社:Springer Verlag  裝訂:平裝
In recent years, rapid changes and improvements have been witnessed in the field of transformer condition monitoring and assessment, especially with the advances in computational intelligence techniqu
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出版日:2012/01/25 作者:Tshilidzi Marwala  出版社:Springer Verlag  裝訂:精裝
Condition Monitoring Using Computational Intelligence Methods promotes the various approaches gathered under the umbrella of computational intelligence to show how condition monitoring can be used to
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出版日:2014/11/20 作者:Minrui Fei (EDT); Chen Peng (EDT); Zhou Su (EDT); Yang Song (EDT); Qinglong Han (EDT)  出版社:Springer Verlag  裝訂:平裝
This book constitutes the second part of the refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2014, and of the International Conference on Intelligent
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出版日:2012/07/21 作者:Michael Doumpos (EDT); Constantin Zopounidis (EDT); Panos M. Pardalos (EDT)  出版社:Springer Verlag  裝訂:精裝
The increasing complexity of financial problems and the enormous volume of financial data often make it difficult to apply traditional modeling and algorithmic procedures. In this context, the field o
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出版日:2010/06/15 作者:T. Marwala; Tshilidzi Marwala Ph.D. (INT)  出版社:Springer Verlag  裝訂:精裝
FEM updating allows FEMs to be tuned better to reflect measured data. It can be conducted using two different statistical frameworks: the maximum likelihood approach and Bayesian approaches. This book
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