The residual error amendment model is derived from fuzzy linear regression model, it can find the most suitable linear function to make the line difference sum in ideal linear regression minimum.
该模型是在模糊线性回归模型的基础上推导出来的，它可以寻找最合适的线性函数使理想线性回归中的线差和达到最小。
The optimization function is defined to be the sum of the squared error between the previous trace and the current pattern representation.
我们定义优化目标函数为前时刻轨迹和当前时刻特征提取结果的均方误差和，推导了相应的轨迹学习算法。
应用推荐