Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering

Simulation on potential risk mining model of underlying network dormant data

Authors
Jin Wang, WanRu Chen
Corresponding Author
Jin Wang
Available Online April 2015.
DOI
https://doi.org/10.2991/amcce-15.2015.209How to use a DOI?
Keywords
data mining; risk; the underlying network;
Abstract
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.
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Proceedings
2015 International Conference on Automation, Mechanical Control and Computational Engineering
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2015
ISBN
978-94-62520-64-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/amcce-15.2015.209How to use a DOI?
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  -