2) network anomaly detection
网络异常检测
1.
Fuzzy Neural Network model based on Particle Swarm Optimization for network anomaly detection
基于PSO算法的模糊神经网络的网络异常检测
2.
In order to improve the detection rate for anomaly state and reduce the false positive rate for normal state in the network anomaly detection, a novel method of network anomaly detection based on TSK Fuzzy inference system(TSK-FIS) was proposed.
在网络异常检测中,为了提高对异常状态的检测率,降低对正常状态的误判率,该文提出利用TSK模糊控制系统进行网络异常检测的新方法。
3.
This paper presents a network anomaly detection model based on enhanced Nave Bayesianclassifier.
随着计算机网络和分布式应用的复杂化和多样化,智能化网络异常检测技术逐渐成为有效监测和控制系统的重要方法。
3) detection of conductive anomalies
电导率异常检测
4) anomaly detection
异常检测
1.
Attribute selection-based and support vector machine for anomaly detection;
基于特征选择和支持向量机的异常检测
2.
Network anomaly detection based on attributes similarity and cloud model;
基于属性相似度云模型的网络异常检测
3.
Unsupervised anomaly detection based on a multi-layer perceptron;
一种基于多层感知机的无监督异常检测方法
5) abnormal detection
异常检测
1.
Research on method of network abnormal detection based on Hurst parameter estimation;
基于Hurst参数评估的网络异常检测方法的研究
2.
Protected scheme for email virus based on abnormal detection
基于异常检测的邮件病毒防治方案
3.
This paper proposes one kind of network intrusion and abnormal detection models on the basis of a network supporting vector machine,which can inspect network intrusion and abnormal detection with the class II categorized ability of support vector machine(SVM).
针对入侵检测系统(IDS)这门新兴的安全技术,提出了一种基于支持向量机的网络入侵异常检测模型,以支持向量机(SVM)的二类分类能力对网络入侵进行异常检测,实验结果与ANN方法结果相比较证明:该方法具有较高的准确性,而且可以大大缩短训练与检测时间。
6) outlier detection
异常检测
1.
Continuous outlier detection over evolving data streams.;
演化数据流上的连续异常检测
2.
Efficient outlier detection method based on Voronoi diagram;
一种基于Voronoi图的高效异常检测方法
3.
Application of structural damage diagnosis using density-based outlier detection;
模式密度方法在结构异常检测中的应用研究
补充资料：电网
①用金属线架设的可以通电的障碍物，多用来防敌或防盗。②指由发电、输电系统形成的网络。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条