边坡系统是一类典型的复杂灰色系统，由于其位移监测数据离散程度较高，因此应用经典灰色预测模型往往会出现预测值偏差较大的情况。

Slope system is a sort of typical complex gray system, applying classical gray prediction model will engender large error in predicted value due to the high discrete degree of monitored displacement.

你可以通过对预测值和实际值之间的平方差取平均来计算均方误差。

You can calculate the mse by averaging the squared differences between predicted and actual values.

高均方根误差表明模型的预测值与实际值相差较大。

A high rmse indicates that the model's predictions are far from the actual values.

结果表明，闪点预测值与实验值符合良好。

The result shows that predicted flash points are in good agreement with the experimental value.

将预测值与实测值加以对比，证实了马尔可夫链式灰色预测模型的可行性。

The comparison of the predicated value and the measured value shows that the mold is feasible.

结果表明：模型预测值与试验测试值吻合较好。

The results show that the forecasting value coincides with the experimental value.

路面温度实测值和预测值的对比表明，预估模型具有广泛的适应性和较高的预测精度。

A comparison between measured and predicted pavement temperature indicates that the prediction model has comprehensive applicability and excellent accuracy.

对模型的预测值与试验数据及已有的数学预测公式的预测值进行了比较.

The forecasted values are compared with experiment data and the values calculated empirical formulae.

结果表明：硬度预测值与实验值相对误差的绝对值的平均值为5.90%，附着力预测准确率为100%，耐冲击性预测准确率为100%。

The results show that the average absolute value of relative errors between predictive and measured values of hardness is 5.90%, the prediction accuracies of adhesion and impact resistance are 100%.

预测值与实测值基本相符 ，可直接应用于城市噪声预测。

So the model can be used to predict the city noise level.