In this paper, the principle of nonlinear correction of data by using RBF neural network, the structure of neural network and the determination method of parameters are described.
介绍了利用RBF神经网络进行数据非线性校正的原理以及RBF神经网络结构和参数的确定方法。
In the experiment, the method of determination of impulse scale factor of visual instrument and the effect of measuring the time parameters with visual instrument are studied.
用试验初步研究了确定虚拟仪器冲击刻度因数的方法和虚拟仪器测量时间参数的效果。
A method for determination of the optimum mass ratio was proposed on the basis of analyzing the dynamic parameters of double mass vibrating system and their relationship.
通过对双质量振动系统的动力学参数及其相互关系的分析，提出了最佳质量比的确定方法。
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