When applying the algorithm to network behavior intelligent learning of intrusion detection system, the error rate is about 10%.
将该算法应用于入侵检测系统的网络行为智能学习,其误报率仅为10%左右。
New search criterion is to minimize the symbol error rate based on OSIC detection.
新的搜索准则是最小化OSIC检测时的误符号率。
The minimum bit-error rate linear multiuser detection problem can be transformed to a bit-error rate cost function problem.
最小误码率线性多用户检测的问题可以归结为一个误码率代价函数的问题。
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