The output forecasting influenced by uncertain history-data of film evaporators is studied by Rough Set theory.
应用粗糙集理论研究了薄膜蒸发器历史数据不确定影响下的产量预测问题。
Some problems based on principle of ISF smelting process are analyzed and an operational optimization approach of ISF status based on Zn-output forecasting model is presented.
在分析熔炼过程中存在问题的基础上，本文提出了基于锌产量预测模型的密闭鼓风炉优化方法。
In actual forecasting, we must classify real-time data, choice the corresponding model to predict network output.
在实际预测时，要对实时数据进行判别分类，选择对应的模型进行预测输出。
The result showed that the Gray Combining Predication Model's accuracy can reach first class in forecasting of Kunming urban waste output in 2003-2010.
通过对昆明市2003-2010年生活垃圾产生量进行了灰色组合模型预测，结果表明该模型的预测精度达到一级。
The relevant formula is derived out and the unreasonableness of forecasting annual output by using traditionally is pointed out.
论述了瞬时产量与阶段产量的差异，导出相应的公式，指出用预测年产量的传统方法的不合理性。
The modeling procedure using the grey forecasting model GM (1, 1) which is applicable to original series with equal intervals is introduced, then an output model of synthetic diamond is established.
介绍了适用于等间距序列的灰色预测模型GM(1,1)的建模步骤，预测了我国的人造金刚石产量。
The emphasis is on discussion of a general structure and theoretical characteristics of the dynamic input-output models and on their uses for energy forecasting.
重点在于讨论动态投入—产出模型的一般结构和理论特征，并放在它们对能源预测的应用上。
The software integrated the functions of data input, data output, data querying, load forecasting and security management.
该预测软件集成了数据录入功能、数据导出功能、数据查询功能、负荷预测功能和安全管理功能。
The model has been applied to forecasting "gross societal output value", "gross industrial output value" and "gross agricultural output value" in the overall urban planning of Liuzhou City.
将该模型用于柳州市总体规划，对相互关联的社会总产值、工业总产值和农业总产值进行了预测。
The GM (1, 1) grey forecasting dynamic model about China's coal output, which is tested, is proved that the model is correct, and has some reference value.
在建立了中国煤炭总产量的GM(1,1)灰色系统动态预测模型，通过检验，证明建立的模型是正确的，具有一定的参考价值。
From the grey model of the gross value of industrial output of Anshan over the years, We can forecast the gross value of industrial output of 1990, the forecasting error is 10. 99%.
通过建立鞍山市历年工业总产值全数据的灰色模型，较准确地预测出鞍山市1990年的工业总产值，其预测误差为10.99%。
From the grey model of the gross value of industrial output of Anshan over the years, We can forecast the gross value of industrial output of 1990, the forecasting error is 10. 99%.
通过建立鞍山市历年工业总产值全数据的灰色模型，较准确地预测出鞍山市1990年的工业总产值，其预测误差为10.99%。
应用推荐