дипломная работа Forecasting crashes of the stock markets model-based log-periodic law and machine learning methods
The main parameters for the evaluation of machine learning methods, their classification. A study of the influence of these parameters on the probability of collapse of stock markets, the possibility of their use as input for machine learning methods.
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| Рубрика | Экономика и экономическая теория |
| Вид | дипломная работа |
| Язык | английский |
| Дата добавления | 30.11.2016 |
| Размер файла | 355,9 K |
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