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Financial time series forecasting using twin support vector regression
Financial time series forecasting is a crucial measure for improving and making more robust financial decisions throughout the world. Noisy data and non-stationarity information are the two key factors in financial time series prediction. This paper proposes twin support vector regression for financ...
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| 出版年: | PLoS One |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6415864/ https://ncbi.nlm.nih.gov/pubmed/30865670 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0211402 |
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