This paper proposes a noise reduction method to DCSK communications system using weighted least square support vector machine (WLS-SVM).
本文提出了基于加权最小二乘支撑矢量机(WLS - SVM)学习算法的一种DCSK混沌通信系统降噪方法。
In the web anomaly intrusion detection, the application of the WLS-SVM based on QPSO algorithm, the results is significantly, especially to small sample size of data has good predictive ability.
在网络异常入侵检测中，应用基于QPSO的WLS - SVM算法效果显著，特别是对于小样本数据量具有良好的预测能力。
In the web anomaly intrusion detection, the application of the WLS-SVM based on QPSO algorithm, the results is significantly, especially to small sample size of data has good predictive ability.
在网络异常入侵检测中，应用基于QPSO的WLS - SVM算法效果显著，特别是对于小样本数据量具有良好的预测能力。
应用推荐