估计GM(1,1)模型中的参数通常采用最小二乘准则，而在模型精度检验时又常采用平均相对误差。
Estimation of GM (1, 1) model parameter usually adopts the least square criterion, but test of model precision often USES average relative error criterion.
经过实例检验，改进的模拟退火-灰色模型的相对误差比传统灰色模型小的多，提高了预测精度。
It is testified by instance that the relative error of stimulated annealing grey model is smaller than traditional grey model's and it has improved the prediction precision.
模型一般以模型还原值与实际值平均相对误差检验模型的模拟精度。
Generally GM (1,1) model takes the average relative error between restored value of the model and real value as the criterion to evaluate the simulation precision.
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