In this paper, a new approach, which is based on simulated annealing algorithm for solving a class of diffusion equation of parameter operator identification of inverse problem, is presented.
文章给出了利用模拟退火算法求解一类扩散方程的参数算子识别反问题的一种新方法。
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。
Loading identification, like the system parameter identification and dynamic characteristics modification, is an inverse problem of structural vibration.
载荷识别与系统参数辨识、动力特性修改等都属于振动的反问题。
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