Lightning and Nuclear explosion pattern recognition from Optical and Electromagnetic data

摘要：

　　Lightning electromagnetic and optical pulse data in 2009 and 2010 Hangzhou Zhejiang province and historical data of nuclear explosion were used in pattern classification research.The data preprocessing includes interpolation,filtration,and normalization so on.The wavelet coefficient energy entropy,wavelet pack energy spectrum,and wavelet box counting dimension was introduced to extract feature of the nuclear and lightning electromagnetic pulse data.And the energy spectrum percentage extraction feature method was used in optical ones.Cross validation method was used to optimum the parameter of the Support Vector Machine model.Eigenvectors were fused and more satisfaction results were gotten.

关键词： Nuclear explosion lightning Electromagnetic pulse Optical pulse Support Vector Machine Cross validation Eigen value fusion

作者: Peng Li Yi Zheng Chao Han Yan Ma

作者单位: Research institute of Chemical Defense Beijing,China 102205

会议类型: 国际会议

会议名称: The 2014 10th International Conference on Natural Computation (ICNC 2014) and the 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2014)(第十届自然计算和第十一届模糊系统与知识发现国际会议)

会议地点: 厦门

会议语种:英文

页码: 494-498

在线出版日期: 2014-08-19（万方平台首次上网日期，不代表论文的发表时间）