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Titlebook: Practical Applications of Evolutionary Computation to Financial Engineering; Robust Techniques fo Hitoshi Iba,Claus C. Aranha Book 2012 Spr

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書(shū)目名稱Practical Applications of Evolutionary Computation to Financial Engineering
副標(biāo)題Robust Techniques fo
編輯Hitoshi Iba,Claus C. Aranha
視頻videohttp://file.papertrans.cn/753/752794/752794.mp4
概述Delivers theoretical and practical knowledge on finance and evolutionary economics.Presents an overview of evolutionary methods for computational finances and provides workable simulators for end-user
叢書(shū)名稱Adaptation, Learning, and Optimization
圖書(shū)封面Titlebook: Practical Applications of Evolutionary Computation to Financial Engineering; Robust Techniques fo Hitoshi Iba,Claus C. Aranha Book 2012 Spr
描述.“Practical Applications of Evolutionary Computation to Financial Engineering” presents the state of the art techniques in Financial Engineering using recent results in Machine Learning and Evolutionary Computation. This book bridges the gap between academics in computer science and traders and explains the basic ideas of the proposed systems and the financial problems in ways that can be understood by readers without previous knowledge on either of the fields. To cement the ideas discussed in the book, software packages are offered that implement the systems described within. .The book is structured so that each chapter can be read independently from the others. Chapters 1 and 2 describe evolutionary computation. The third chapter is an introduction to financial engineering problems for readers who are unfamiliar with this area. The following chapters each deal, in turn, with a different problem in the financial engineering field describing each problem in detail and focusing on solutions based on evolutionary computation. Finally, the two appendixes describe software packages that implement the solutions discussed in this book, including installation manuals and parameter explana
出版日期Book 2012
關(guān)鍵詞Evolutionary Optimization; Financial Engineering; Genetic Algorithms; Genetic Programming; Memetic Algor
版次1
doihttps://doi.org/10.1007/978-3-642-27648-4
isbn_softcover978-3-662-52022-2
isbn_ebook978-3-642-27648-4Series ISSN 1867-4534 Series E-ISSN 1867-4542
issn_series 1867-4534
copyrightSpringer Berlin Heidelberg 2012
The information of publication is updating

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