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.
针对一类不可微优化问题，本文提出了一个新的算法—极大熵微粒群混合算法。
To solve a class of non-differentiable optimization problems, this paper proposed a new method called maximum-entropy particles swarm optimization algorithm.
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