The relative average error between predicted oil displacement efficiency and actual value is 8.7%, the accuracy meets demand of production.
驱油效率实际值与预测值平均相对误差8.7%，精度满足生产要求。
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。
The result of counting show that counting value is consistent with experiment value, average error is only 0.3%.
计算结果表明，计算值与实验值一致，平均误差仅0.3%。
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