预测的误差可能来自错误的数据、错误的假设或错误的模型。
Errors in forecasting can result from bad data, wrong assumptions or a faulty model.
结果表明，该模型在发动机中负荷区域预测精度较高，其误差在使用允许范围内。
The results showed that the accuracy of this model is high in mid engine load area and its error is limited in useable range.
本文提出基于新的激励函数BP算法建立误差预测模型，修正新型广义预测算法的预测输出。
In the paper presents the predictive out of a new generalized predictive Control is corrected by the error predictive model based on a new excite function BP arithmetic.
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