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。
Based on the new ANN (artificial neural network) inverse system control method, the AC variable frequency speed control system is analyzed and experimented.
本文运用神经网络逆系统这一新的控制策略，对异步电机变频调速系统进行可逆分析与控制试验。
In the condition of selecting the learning samples properly, the artificial neural network has the obvious advantage in the inverse designing the electronic lens.
可以看到在较好的选取学习样本情况下，神经网络技术在电子透镜的逆设计中有着明显的优越性。
In this paper, several artificial neural network based models of solving inverse eigenvalue problem and their characters are studied. These models are direct, indirect and optimization inverse models.
研究了特征值反问题求解的几种神经网络模型：直接逆模型，间接逆模型，优化方法模型，指出了各种方法的应用范围。
The method, which combines the advantages of artificial neural network and genetic algorithm, is an universal one of solving inverse eigenvalue problem.
计算结果及分析表明它是求解一切特征值反问题的有效方法。
The method, which combines the advantages of artificial neural network and genetic algorithm, is an universal one of solving inverse eigenvalue problem.
计算结果及分析表明它是求解一切特征值反问题的有效方法。
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