1) optimal weight
最优加权
1.
For the difficulty of determining the reliability of each sensor and low precision of observed data,a new fusion method based on supporting matrix and optimal weight is presented.
针对当前多传感器融合过程中,各传感器可靠度估计困难和观测值融合精度低的问题,文中提出一种基于支持度矩阵的最优加权多传感器融合方法,首先建立各传感器之间的相互支持度矩阵,然后对综合支持度高的传感器进行最优加权融合。
2.
Through training and simulating,by means of MATLAB and compared with optimal weight filter method,BP neural network provides better accuracy in retraining white noise.
多传感器含噪声的输出信号序列和目标真值作为样本,用于网络训练,用检验样本对训练后的网络进行检验,并与最优加权滤波方法比较,MATLAB 下的仿真结果表明:BP 网络用于多传感器系统滤波降噪有明显效果。
3.
Through training and simulating,by means of MATLAB and compared with optimal weight filter method,BP neural network provides better accuracy in restraining white noise.
多传感器含噪声的输出信号序列和目标真值作为样本,用于网络训练,用检验样本对训练后的网络进行检验,并与最优加权以及最优加权与递推最小二乘法相结合的滤波方法比较。
2) best weighting
最优加权
1.
This paper brings forward combining these 3 prediction methods after best weighting method,forming a combination prediction method which has the respective advantage of the 3 methods.
提出了最优加权组合预测方法,其精度更高,更适用于对形变监测数据要求高的场合。
3) optimal weighted method
最优加权法
1.
Aiming at solving the problems in various single traditional forecasting methods,a combined forecasting model based on optimal weighted method was put forward.
根据珠江三角洲天河水文站的水位预测要求,运用最优加权法建立了多元线性回归、灰色系统GM(1,1)和BP神经网络的组合模型。
4) optimum weight stacking
最优加权叠加
5) simple average and weighted optimum combination principle
最优加权组合
1.
The paper presents a short term load combined forecasting model using the simple average and weighted optimum combination principles.
文中分别应用简单平均组合与最优加权组合原理,建立了短期负荷预测的组合模型。
6) optimal weighting algorithm
最优加权算法
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