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.
流量发生器是一种可以产生特定类型、特定长度、特定速率的帧，并对网络的总体流量和利用率等参数进行统计的工具。
A traffic generator is one, which can generate special type, special length and special speed frames and then calculate the total network utilization, network frame speed, etc.
在模拟中，可以通过修改参数，如tcp的数据包大小、网络队列的类型选择，来获得不同网络方案的对比资料。
In the simulation, comparison data of different network solutions can be gained by modifying parameters such as the size of TCP packages and the type of network queues.
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