预报结果表明，基于神经网络的板凸度影响系数优化能有效提高设定精度，适应不断变化的工艺过程和设备条件。
The comparison between measured and predicted values shows that profile setting-up precision is increased and the optimization model can be adapted to varied techniques and equipment.
预报结果表明，基于神经网络的板凸度影响系数优化能有效提高设定精度，适应不断变化的工艺过程和设备条件。
The comparison between measured and predicted values shows that profile setting-up precision is increased and the optimization model can be adapted to varied techniques and equipment.
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