经标准化处理后，在确定时变参数估值的基础上，建立了大修费用多层递阶预测模型，并成功地实现了大修费用预测。
The Multi?layer hierarchical recursion model for equipment overhaul cost forecasting is successfully established in overhaul cost prediction.
从煤与瓦斯突出的机理出发，构建了多层BP神经网络预测模型，将煤与瓦斯突出的综合影响因素作为特征向量。
Based on the mechanism of coal and gas outburst, we construct the prediction model of BP neuro-network and make the composite factor of the coal and gas outburst as the feature vector.
最后，介绍了多层神经网络模型在丝杠螺纹磨削过程的预测与控制中的应用。
The application of multi-layer neural networks in the prediction and control of lead-screw grinding is discussed.
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