The results show that the performance of the artificial neural network approach is good, and therefore it might be referred as an effective tool for prediction of the type of earthquake sequences.

结果表明，人工神经网络方法性能良好，可望成为地震序列类型预测的有效工具。

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A typical artificial neural network model-back-propagation model was presented for prediction on the soil liquefaction type based on the physical parameters of soils under earthquake.

本文根据人工神经网络的一典型模型—反向传播模型，以及地震荷载下的各项土的物理—力学参数，建立了土液化类型的神经网络数学模型。

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Hence an earthquake occurs. Lastly, some of the questions on earthquake prediction are put forward according to the new type of strong events such as the Wenchuan earthquake.

最后，针对这种发震机理的新型地震，提出了今后关于地震预报的几点思考。

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