Improved AFSA Optimization of SVM in The Application of Magnetic EAS Acoustic Signal Detection
[1]Deng Jicai,Geng Yanan.Improved AFSA Optimization of SVM in The Application of Magnetic EAS Acoustic Signal Detection[J].Journal of Zhengzhou University (Engineering Science),2017,38(04):35-38,83.[doi:10.13705/j.issn.1671-6833.2017.04.001]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
38
Number of periods:
2017 04
Page number:
35-38,83
Column:
Public date:
2017-07-18
- Title:
- Improved AFSA Optimization of SVM in The Application of Magnetic EAS Acoustic Signal Detection
- CLC:
- -
- Abstract:
- In order to improve the detection rate of the acoustic magnetic EAS system,and enhance the antiinterference performance,the paper studied a new label detection algorithm that was the combination of the improved artificial fish swarm algorithm (IAFSA) and the support vector machine (SVM).An improved scheme was proposed after analyzing the strengths and weaknesses of the traditional AFSA and SVM.The experimentalresults showed that the IASFA had the faster rate of convergence and the higher accuracy than AFSA,the genetic algorithm and the particle swarm algorithm;The IASFA-SVM had the higher detection rate,the longer detective distance and the lower rate of false than the traditional magnetic label detection algorithm,and the IASFA-SVM also could meet the requirements of real-time detection.
- References:
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