同其他模拟技术相比，在精度相同的情况下，神经网络响应面法可以大大减少模拟时间。
Compared with other simulation technique, neural network response surface method can greatly reduce the simulation time at the same precision level.
首先通过一系列样本点有限元试验结果建立目标函数和设计变量的神经网络响应面模型。
A response surface using artificial neural network is formed on the ground of initial finite element experiments.
经过神经网络响应面法的检验，证明TAA方法是一种实用而又有效的风险概率计算方法。
Verified by network response surface, TAA was improved to be an applied and valid method of calculating the risk occurrence probability.
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