A new approach based on evolutionary algorithm for inverse problem of parameter identification for water quality model is proposed.
给出了利用演化计算方法求解河流水质多参数反问题的一种新方法。
This paper studies inverse design problem of generalized eigenvalue problem of linear parameter discrete vibration system.
本文研究了具有线性参数的离散振动系统广义特征值逆设计问题。
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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