| 書目名稱 | Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs |
| 編輯 | Jo?o Baúto,Rui Neves,Nuno Horta |
| 視頻video | http://file.papertrans.cn/741/740970/740970.mp4 |
| 概述 | Describes in deep the efficient implementation of SAX/GA algorithm in GPU.Presents an algorithm useful to optimize market trading strategies.Useful for computational finance applications |
| 叢書名稱 | SpringerBriefs in Applied Sciences and Technology |
| 圖書封面 |  |
| 描述 | This Brief presents a study of?SAX/GA,?an algorithm to optimize market trading strategies, to understand how the sequential implementation of SAX/GA and genetic operators work to optimize possible solutions. This study is later used as the baseline for the development of parallel techniques capable of exploring the identified points of parallelism that simply focus on accelerating the heavy duty fitness function to a full GPU accelerated GA.? |
| 出版日期 | Book 2018 |
| 關(guān)鍵詞 | computational finance; pattern recognition techniques; high performance computing; data science; SAX/GA |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-73329-6 |
| isbn_softcover | 978-3-319-73328-9 |
| isbn_ebook | 978-3-319-73329-6Series ISSN 2191-530X Series E-ISSN 2191-5318 |
| issn_series | 2191-530X |
| copyright | The Author(s) 2018 |
|Archiver|手機(jī)版|小黑屋|
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