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Recurrent neural network-based artificial intelligence system for time series predictions
Recurrent neural network-based artificial intelligence system for time series predictions
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机译:基于经常性神经网络的时间序列预测的人工智能系统
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摘要
At a network-accessible artificial intelligence service for time series predictions, a recurrent neural network model is trained using a plurality of time series of demand observations to generate demand forecasts for various items. A probabilistic demand forecast is generated for a target item using multiple executions of the trained model. Within the training set used for the model, the count of demand observations of the target item may differ from the count of demand observations of other items. A representation of the probabilistic demand forecast may be provided via a programmatic interface.
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