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Forecasting routines utilizing a mixer to combine Deep Neural Network (DNN) forecasts of multi-variate time-series datasets
Forecasting routines utilizing a mixer to combine Deep Neural Network (DNN) forecasts of multi-variate time-series datasets
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机译:利用混频器将常见神经网络(DNN)预测的预测例程(DNN)预测多变量时间序列数据集预测
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摘要
Deep Neural Networks (DNNs) for forecasting future data are provided. In one embodiment, a non-transitory computer-readable medium is configured to store computer logic having instructions that, when executed, cause one or more processing devices to receive, at each of a plurality of Deep Neural Network (DNN) forecasters, an input corresponding to a time-series dataset of a plurality of input time-series datasets. The instructions further cause the one or more processing devices to produce, from each of the plurality of DNN forecasters, a forecast output and provide the forecast output from each of the plurality of DNN forecasters to a DNN mixer for combining the forecast outputs to produce one or more output time-series datasets.
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