The Signal Detection Model of AM-EAS Based on Optimized SVM with Improved AFSA
- DOI
- 10.2991/meici-16.2016.73How to use a DOI?
- Keywords
- Artificial Fish Swarm Algorithm;SVM;AM label;Detection rate;Real-time
- Abstract
In order to improve the detection rate of AM-EAS system, The paper puts forward an new signal detection model (IAFSA-SVM) combined with the Improved Artificial Fish Swarm Algorithm (IAFSA) and Support Vector Machine (SVM) .the paper analyzed the advantage and defect of AFSA, and proposed the improved scheme, The simulation results show that IAFSA than AFSA, GA and PSO has a better ability of parameters optimization about SVM,The model based on the optimized SVM compared with the traditional AM label detection algorithm has markedly improved in detection rate and false positives, and satisfies the requirement of real-time detection in engineering application.
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yanan Geng PY - 2016/09 DA - 2016/09 TI - The Signal Detection Model of AM-EAS Based on Optimized SVM with Improved AFSA BT - Proceedings of the 2016 6th International Conference on Management, Education, Information and Control (MEICI 2016) PB - Atlantis Press SP - 352 EP - 356 SN - 1951-6851 UR - https://doi.org/10.2991/meici-16.2016.73 DO - 10.2991/meici-16.2016.73 ID - Geng2016/09 ER -