与已有的融合方法相比，文章提出的神经数据融合方法具有非偏倚的统计特性而且不需要关于噪声协方差的任何先验知识。

Compared with the existing fusion method, the proposed neural data fusion method has an unbiased statistical property and does not require any prior knowledge about the noise covariance.

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对评估人员来说，这些趋势意味着他们能够得到更一致和及时的数据，他们将走向神经网络的美好的未来。

For estimators these trends mean a more consistent and timely supply of historical data, and they point toward a bright future for Neural Networks.

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研究人员用所谓的人工神经网络的技术分析数据的模式。

The researchers used a technique called artificial neural networks to look for patterns in the data.

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