Based on the model parameter identification theory in inverse problem, a neural network model for constitutive law of clay under multiple stress paths is set up through artificial neural network.

基于反问题中的模型参数辩识理论，通过人工神经网络，建立了考虑应力路径影响的粘土的神经网络本构模型。

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According to the drawback of the models existed which are too complicated, we set up a nonlinear temperature model of MCFC using RBF neural networks identification technology.

针对现有的熔融碳酸盐燃料电池(MCFC)模型过于复杂的弊端，本文应用rbf神经网络辨识方法建立了MCFC的温度非线性模型。

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The mathematical model for the motion of CVE 2 type chaotic vibration exciter was set up and its numerical simulation and chaotic identification were carried out.

建立了使用滑动轴承的CVE - 2型混沌激振器所产生的运动的数学模型，并对其进行了数值仿真和混沌识别。

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