Through design of the statistical weighting algorithm based on BP neural network, the data fusion model will be established.

通过设计基于BP神经网络的统计加权算法，建立数据融合模型。

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The magnetic sensor data fusion model suitable for the detection of pipeline damage was established and classified into four levels.

建立适用于油管损伤检测的磁性传感器信息融合模型，并将信息融合模型分为四级。

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For eliminating above influence, the data fusion between leaf density and imaging distance was processed by using BP artificial neural network and data fusion model.

为了消除上述影响，根据数据融合系统模型，采用BP人工神经网络对树叶稀密程度与成像距离进行数据融合处理。

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