Quantitative analysis of terrorist attacks combined with multiple models
The quantitative analysis of the data recorded in the terrorist attacks will help to improve the pertinence and efficiency of the fight against terrorism. This paper comprehensively uses neural network, PCA, k-means, wavelet analysis and other models to determine the level of terrorist attacks, and predicts and analyzes the future counter-terrorism situation, and proposes a process model for terrorists to choose targets, and has received terrorist attacks. The level of hazard of the incident and the suspicion of unknown terrorists and the pre-judgment of future counter-terrorism.
Neural network prediction k-means sensitivity analysis clustering
Qingkuo Lia Kun Li Ziqing Zhang
University of Chinese Academy of Sciences, Beijing, China
国际会议
呼和浩特
英文
593-600
2019-07-27（万方平台首次上网日期，不代表论文的发表时间）