But all their precisions are limit to one-order truncation error, and make severe accumulate error on discrete models.

这些方法的精度都局限在一阶截断误差，在离散的网格上有严重的累积误差。

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Many single BP networks make up of predictive model paratactically, each predictive model can not be affected each other, so the error is not accumulate.

由多个单独BP 网以并行方式构成预测模型，各子预测模型间无直接影响，因此没有误差积累。

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As for the corrected models, the maximal relative error, the average relative error, the accumulate flow error are 5.93%, 0.93%, 0.13% respectively.

对该模型进行修正后得到气相流量最大相对误差5.93%，平均相对误差0.93%，累计流量相对误差0.13%。

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