A Piecewise Linearization Method of Significant Wave Height Based on Particle Swarm Optimization

摘要：

　　A piecewise linearization method of significant wave height is proposed based on particle swarm optimization.Piecewise linearization model is used to approximate significant wave height inversion model, minimum radius of neighborhood is used to eliminate wild value in the sample data and sparse the data, and then the particle swarm optimization algorithm is applied for piecewise area division and parameter optimization of the model.Simulation result shows that compared with traditional inversion method, better practicability and the higher significant wave height inversion precision are obtained by the proposed method.

关键词： particle swarm optimization significant wave height piecewise linearization X-band radar

作者: Liqiang Liu Zhichao Fan Xiangguo Wang

作者单位: College of Automation, Harbin Engineering University, Harbin 150001, China

会议类型: 国际会议

会议名称: 4th international Conference,ICSI2013(第4届群体智能国际会议)

会议地点: 哈尔滨

会议语种:英文

页码: 144-151

在线出版日期: 2013-06-12（万方平台首次上网日期，不代表论文的发表时间）