Simulation on potential risk mining model of underlying network dormant data
Jin Wang, WanRu Chen
Available Online April 2015.
- https://doi.org/10.2991/amcce-15.2015.209How to use a DOI?
- data mining; risk; the underlying network;
- This paper focuses on the potential risk mining method of underlying network dormant data, a potential risk mining method based on bat algorithm optimization BP neural network is put forward. The BP neural network parameter is coded as the individual of bat, and the accuracy of the potential risk mining is viewed as the individual fitness function, then through the simulation of bat flight process to find the optimal parameters of BP neural network, finally according to the optimal parameters to establish the potential risk mining model of underlying network dormant data. The experimental results show that, this algorithm can effectively improve the mining efficiency, and further reduce the error.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Jin Wang AU - WanRu Chen PY - 2015/04 DA - 2015/04 TI - Simulation on potential risk mining model of underlying network dormant data BT - 2015 International Conference on Automation, Mechanical Control and Computational Engineering PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/amcce-15.2015.209 DO - https://doi.org/10.2991/amcce-15.2015.209 ID - Wang2015/04 ER -