我们理解，对事实的预测模型。
因此，在构建预测模型之前，必须先划分数据。
Thus, you have to split the data before building the prediction model.
与简单预测模型对比，误差最小。
Comparing to the simple forecasting model, its error is the minimum.
建立了一个新的销量预测模型。
In this article a new sales volume forecast model is set up.
给出了一种灰色预测模型的新方法。
In this paper, a new method for grey forecasting model is proposed.
预测模型现场应用效果明显。
工程实例分析表明该预测模型是有效的。
A practical example shows that this prediction model is available.
第二，需求信息采集及预测模型的构建。
Secondly, the model establishment of demand collection and demand prediction.
实际数据，对预测模型进行训练和检验。
And the model was trained and tested with experimental data.
该文将组合预测模型应用到决策支持系统中。
In this paper, combination forecasting model will be applied to decision support systems.
在预测模型中，使得预测模式结果更加准确。
As such the forecasting result is accurate in forecasting model.
结论在统计预测中该模型是良好的预测模型。
Conclusion This model is a good one to do some predictive works in statistics.
第四，设计预测模型。
而负荷预测模型是进行负荷预测的主要工具。
Load forecasting model is the important tool for load forecasting.
因此，该预测模型足以满足岩土工程的需要。
So, this method can satisfy the need of the rock and soil engineering.
证明了用该方法建立路面性能预测模型的优越性。
Result shows that this is a good way to form pavement prediction model.
其次，重点设计了保险公司的客户流失预测模型。
Second, the focus on the design of the insurance company's customer churn prediction models.
建立了预测模型。
用神经网络建立土壤水分预测模型的方法是可行的。
The method of building soil water forecast model with neural network is available.
因此，选定合适的预测模型对预测结果非常重要。
Therefore, it's important to choose the appropriate forecasting model.
时间序列预测模型在生产性行业里具有广泛的作用。
Time serial predicting model can act well in many industries.
在对象与规则之间的可信度基础上，建立了预测模型。
On the basis of the degree of credibility, a prediction model is presented.
最后对我国财务困境预测模型的进一步研究作了探讨。
Lastly, the paper discusses the future study on prediction model of finance predicament.
其主要目的是为了确定生长预测模型中的目的微生物。
The purpose was to confirm the objective microorganism in growth predictive model.
根据以上的三个系统，我们可以确定股票价格预测模型。
By the three systems above, we could build the model of stock price evaluating.
通过实例证明该模型是一种行之有效的用水量预测模型。
Typical examples proved that the model is a very accurate water demand forecast model.
灰色系统预测模型是一种进行港口吞吐量预测的有效方法。
The grey system model is efficient for long-term port throughput forecasting.
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。
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。
Black body furnace temperature time series prediction model based on BPNN was built.
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