并重点研究了基于遗传—bp神经网络组合模型的二源、三源动态交通流数据融合技术。

Further, the dynamic traffic data fusion technique based on the GA-BP Model is studied for the dual-source and triple-source dynamic traffic data.

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本文从故障预报角度研究了神经网络组合预报模型，由神经网络给出常规预报方法的最佳组合。

In point of fault prediction, neural network based combination prediction is studied in the paper in which the best combining of traditional prediction methods is given by neural network.

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研究了应用线性网络对组合导航多传感器信息进行融合的方法，在此基础上提出了一种神经网络组合导航容错算法。

In this paper, a method of multi-sensor data fusion using neural network in integrated navigation system is given, and then a fault-tolerant algorithm is proposed.

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