Some forecasting procedures sum the absolute values of the errors and may report this sum, or divide it by the number of forecast attempts to produce the average forecast error.
一些预测程序总计错误的绝对值而且可能报告这总数， 或藉着预测尝试的数字分开它生产平均的预测错误。
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。
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