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。
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.
介绍了工作原理，网络结构和训练算法。
The authors introduce the operating principle, network structure and training algorithm.
对网络进行学习训练，并进行了网络结构及其学习参数优化；
Training was conduced by artificial neural networks, the training parameters are optimized.
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