Criminal Statistics Analyzing Based on Deep Learning Methods
Xuepeng Huang, Jianhui Lin
Available Online August 2015.
- https://doi.org/10.2991/msam-15.2015.83How to use a DOI?
- criminal statistical data; anomaly value; deep learning; transfer delay
- Social Security Administration analysis is studied based on intensive probe to present social fluctuation researches. A complex social system model is constructed by profile vector of complex system. According to the character of the complex social system, a simplified algorithm based on deep learning is proposed, which contains a system anomaly testing expression and a corresponding referenced anomaly testing expression according to the stochastically transfer delay of the complex system. Prototype system and experiment results show the precision and credibility of the social system anomaly index obtained from the algorithm.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Xuepeng Huang AU - Jianhui Lin PY - 2015/08 DA - 2015/08 TI - Criminal Statistics Analyzing Based on Deep Learning Methods BT - 2015 International Conference on Modeling, Simulation and Applied Mathematics PB - Atlantis Press SP - 369 EP - 373 SN - 1951-6851 UR - https://doi.org/10.2991/msam-15.2015.83 DO - https://doi.org/10.2991/msam-15.2015.83 ID - Huang2015/08 ER -