| 書目名稱 | Natural Computing in Computational Finance |
| 副標題 | Volume 2 |
| 編輯 | Anthony Brabazon,Michael O’Neill |
| 視頻video | http://file.papertrans.cn/662/661697/661697.mp4 |
| 概述 | reports recent research results Computation Intelligence in Finance.Includes supplementary material: |
| 叢書名稱 | Studies in Computational Intelligence |
| 圖書封面 |  |
| 描述 | .Recent years have seen the widespread application of Natural Computing algorithms (broadly defined in this context as computer algorithms whose design draws inspiration from phenomena in the natural world) for the purposes of financial modelling and optimisation. A related stream of work has also seen the application of learning mechanisms drawn from Natural Computing algorithms for the purposes of agent-based modelling in finance and economics. In this book we have collected a series of chapters which illustrate these two faces of Natural Computing. The first part of the book illustrates how algorithms inspired by the natural world can be used as problem solvers to uncover and optimise financial models. The second part of the book examines a number agent-based simulations of financial systems...This book follows on from .Natural Computing in Computational Finance. (Volume 100 in Springer’s Studies in Computational Intelligence series) which in turn arose from the success of EvoFIN 2007, the very first European Workshop on Evolutionary Computation in Finance & Economics held in Valencia, Spain in April 2007.. |
| 出版日期 | Book 2009 |
| 關鍵詞 | Computational Finance; Computational Intelligence; Evolution; Natural Computing; Simulation; agent-based |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-540-95974-8 |
| isbn_softcover | 978-3-642-10112-0 |
| isbn_ebook | 978-3-540-95974-8Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer-Verlag Berlin Heidelberg 2009 |
|Archiver|手機版|小黑屋|
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