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Lag-l forecasting and machine-learning algorithms
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DOI：10.1111/j.1468-0394.2011.00581.x.png)
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摘要
En 中文
In this study, we discuss the problem of lag-l forecasting, which has been solved using a machine-learning algorithm. The main aim of this study is to define the lag-l forecaster based on a precise classification approach and to discuss the technical issues involved in the lag-l forecasting problem, including a comparison of various machine-learning algorithms for proper implementation of the technique. This study focuses on an application that uses the lag-l forecaster in an early-warning system.
Keyword:
lag-l forecasting classifier
machine-learning algorithms
early warning
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2.3
论文数:
2.5K
被引数:
3.8K
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