The average value of absolute error is 2.05% and the biggest error is 5.12% in the model of loom efficiency. The results indicate that ANN model has high forecast precision.
对于织机效率模型，预报误差绝对值的平均为2.05%，最大误差为5.12%，可知模型具有较高的预报精度，人工神经网络对此模型的预报可行有效。
X direction average error of object tracing using Kalman forecast is analyzed, and track and search range are estimated.
分析了采用卡尔曼预测进行目标跟踪引起的误差、估计了运动轨迹和搜索范围。
This paper presents the residual error forecast model of average-growing function by using its residual error data sequence to adjust the model based on the finished forecast model.
在均生函预报模型的基础上，利用其残差数据序列对均生函数预报模型进行校正，提出了均生函数残差预报模型。
This paper presents the residual error forecast model of average-growing function by using its residual error data sequence to adjust the model based on the finished forecast model.
在均生函预报模型的基础上，利用其残差数据序列对均生函数预报模型进行校正，提出了均生函数残差预报模型。
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