It improves the unequal interval gray forecast model, and the prediction precision is improved.
弥补了传统非等间距原始数据预测模型的不足,提高了灰色预测的精度。
In this image registration method, with the help of relaxation algorithm, matching precision is improved.
在角点匹配过程中,采取了松弛算法来提高匹配精度,达到了好的配准效果。
The model computation precision is improved by using real time model from adaptive Carlman filter method.
采用自适应卡尔曼滤彼方法实时刷新模型参数,以此来提高模型计算精度。
应用推荐