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。
In the algorithm, the radial-basis function neural network (RBFNN) is utilized as forward model, and the IGLSA is used to solve the optimization problem in the inverse problem.
该算法中，径向基函数神经网络(RBFNN)用作前向模型，IGLS A用于求解逆问题中的优化问题。
The inverse problem above is actually an optimization problem.
上述问题实质是一个最优化问题。
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