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.
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。
By changing the boundary conditions of the grey forecasting model of the residual Error cent rank processing, Make the original Synergetic prediction model precision and prediction accuracy is higher.
通过改变边界条件的灰色预测模型对残差进行了分阶处理，使原有协同预测模型的精度和预测准确性更高。
应用推荐