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。
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。
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.
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