The application of the algorithm in multiuser detection problems demonstrates that the RBF network trained with the algorithm is concise in structure and has good anti-MAI performance.
将该方法用于多用户检测问题的实验结果表明，采用这种混合算法训练的RBF网络结构精简，具有很好的抗多址干扰的性能。
Pattern classification was an important part of the RBF neural network application.
模式分类是RBF神经网络应用的一个重要方面。
This paper gives a data fusion structure based on RBF neural network and D-S inference and its application in the fault diagnosis of bearing.
提出一种基于RBF神经网络和D - S证据理论相结合的数据融合结构应用于轴承故障诊断。
The application of RBF neural network in hardy nonlinear system and the result of simulation is introduced. An example of pH control in hydroxylamine reactor is described.
以某厂羟胺反应器的氢离子浓度控制为例，介绍了径向基函数（RBF）神经网络在强非线性对象预测控制中的应用及仿真研究结果。
This paper presents a learning algorithm for a RBF neural network with adjustable radial basis width and discusses its application in the classification problem of share tendency patterns.
提出一个基宽度可调的RBF神经网络学习算法，并将它应用于个股走势模式的分类问题。
The results show that the RBF neural network is very promising for the application of petroleum reservoir characterization.
应用表明，RBF神经网络在储层表征问题中有着广阔的应用前景。
The choice of the center of radial basis function, constructing an improved RBF network and its application to recognize the trained samples and test samples were discussed.
讨论了径向基函数中心的选取，构造了改进的RBF网络对训练样本和测试样本进行识别。
In this paper, the model structure and the application of Radial Basis Function Neural Network (RBF NN) to fault diagnosis of power transformer is presented.
研究了径向基函数(RBF)神经网络的模型结构及其在电力变压器故障诊断中的实现方法。
In this paper, the model structure and the application of Radial Basis Function Neural Network (RBF NN) to fault diagnosis of power transformer is presented.
研究了径向基函数(RBF)神经网络的模型结构及其在电力变压器故障诊断中的实现方法。
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