摘要
为了能够利用地面电场资料对雷暴云等效电荷进行反演,提出了一种雷暴云等效电荷混合反演算法。该算法通过镶嵌混合结构形式将粒子群法和牛顿法相结合,并构造混合概率函数来控制混合时机。给定雷暴云电荷结构参数,在正演结果基础上对雷暴云等效电荷进行反演,结果表明:该混合反演算法的全局搜索性强,能有效地解决对初值的选取问题,并能得到更精确的反演结果;单纯的串行混合结构计算时间短但是反演的效果不佳,镶嵌混合结构能较好地体现两算法的优势;构建混合概率密度函数能够较好地提高整体计算效率。
In order to inverse thunder cloud equivalent electric charge using the ground electric field data, this paper presented, a thunderstorm cloud equivalent charge hybrid inversion algorithm. The algorithm combines the particle swarm method and Newton method through the combined mosaic hybrid structure and controlls the hybrid timing by constructing the mixed probability function. Giving the parameters thunder cloud charge structure, the thunder cloud equivalent charge is inversed based on the forward modeling results. The results show that the particle Newton＇s meth- od can effectively avoid the selection of initial value problems by strong global search capability, get better inversion re- sults, and calculation time of a simple serial hybrid structure is short but the inversion effect is not good. Setting mosaic hybrid structure can better reflect the advantage of two algorithms, and building mixed probability density function can improve the computation efficiency.
出处
《计算机科学》
CSCD
北大核心
2014年第2期257-260,共4页
Computer Science
基金
国家自然科学基金(61072133)
江苏省普通高校研究生科研创新计划(N0782002157)
江苏省"传感网与现代气象装备"优势学科平台
江苏省产学研联合创新资金计划(SBY201120033)
江苏省高校科研成果产业化推进项目(JHB2011-15)资助
关键词
粒子群
牛顿法
雷暴云等效电荷反演
混合结构形式
混合概率密度
Particle swarm, Newton＇s method, Inversion of thunder cloud equivalent charge, Hybrid structure,Mixed probability density
