Black body furnace temperature time series prediction model based on BPNN was built.

文章在神经网络的基础上，建立了黑体炉温度时序预测模型。

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Wavelet network based nonlinear time series prediction model is submitted, and nonlinear time series prediction and its application in fault prediction are discussed in this paper.

本文提出了基于小波网络的非线性时间序列预报模型，探讨了非线性时间序列预报在故障预报中的应用。

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Two kinds of models are derived; load prediction model based on building model recognition and load prediction model based on time series analysis.

提出了两种类型负荷预报模型，基于建筑模型辩识的负荷预报法和基于时间序列的负荷预报法。

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By using a discovery platform they were able to use a combination of SQL, text, statistics, and time-series analysis to get a more accurate customer churn prediction model.

FORBES: New Teradata Platform Reduces Demand For Data Scientists