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。

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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。

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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。

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