Conclusion: The exponential smoothing method could be employed to forecast a time series of one dimension for cucumber downy disease.
结论:可以利用指数平滑法对霜霉病一维时间序列进行预测。
Exponential smoothing, as a key branch of time series, is a typical forecasting and control model. Because the model have some merit characteristics and wide application.
而作为其重要分支之一的指数平滑法,因为操作简单、适用性强、性能优良、应用广泛而成为经典的预测与控制模型。
Quartic exponential smoothing method can follow the nonlinear trend of time series better and can also forecast better.
布朗单一参数四次指数平滑能更好地跟踪时序的非线性变化趋势,达到更好的短期预测效果。
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