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qpso
- 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,本文提出一种基于量子粒子群优化算法训练小波神经网络进行网络异常检测的新方法。利用量子粒子群优化算法(QPSO)训练小波神经网络,将小波神经网络(WNN)中的参数组合作为优化算法中的一个粒子,在全局空间中搜索具有最优适应值的参数向量。- In order to improve the detection rate for anomaly state and reduce the false positive rate for n
xy7z.ZIP
- 一种基于聚类的异常检测方法A method of anomaly detection based on Clustering-A method of anomaly detection based on Clustering
SIDSfazhaani
- 自1980年产生IDS概念以来，已经出现了基于主机和基于网络的入侵检测系统，出现了基于知识的模型识别、、异常识别和协议分析等入侵检测技术，并能够对百兆、千兆甚至更高流量的网络系统执行入侵检测。 已通过测试。 -Since 1980 to produce the IDS concept, host-based and network-based intrusion detection systems, knowledge-based model identification, anomaly
QGRAV
- 用fortran，根据全球球鞋展开模型计算重力异常和垂线偏差-Using fortran, model calculations based on global expansion shoes gravity anomaly and vertical deviation
TRAOD_Algorithm
- 基于轨迹划分的异常轨迹检测方法。首先采用两种分段粒度将每条轨迹分为若干子轨迹线段，然后，在基于距离的异常检测方法的基础上，引入调整系数的概念，采用密度与距离相结合的方法进行异常轨迹检测。 -Abnormal trajectory detection method based on trajectory partition.Firstly each trajectories should be divided into several substrajectories using two gr
anomaly-detection
- 异常检测算法，包括基于聚类的、基于分类的、基于ocsvm的异常检测算法-Anomaly detection algorithms, including those based on clustering, based on the classification based anomaly detection algorithm ocsvm
pca
- 基于主元分析的异常检测和故障诊断，用于对具有高度线性相关的测量数据进行分析和处理，其最终实现高维空间降维的目的。-Anomaly detection based on principal component analysis and fault diagnosis, used for highly linear correlation measurement data analysis and processing, its ultimate achieve the goal of higher