### Parameters estimation of VG equation based on fitting method and particle swarm optimization

CAO Huaihuo1, OUYANG Aijia2, AI Hainan3

1. 1.Department of Mathematics and Computer Science, Chizhou College, Chizhou, Anhui 247000, China
2.School of Computer and Communication, Hunan University, Changsha 410082, China
3.Laboratory of Three Gorges Reservoir Region’s Eco-Environment, Ministry of Ducation, Chongqing University, Chongqing 400045, China
• Online:2013-06-01 Published:2013-06-14

### 基于拟合与粒子群优化的VG方程参数估计

1. 1.池州学院 数学与计算机科学系，安徽 池州 247000
2.湖南大学 计算机与通信学院，长沙 410082
3.重庆大学 三峡库区生态环境教育部重点实验室，重庆 400045

Abstract: Taking into the particle swarm optimization is affected by the initial values and produces easily the local optimal solutions, based on lsqcurvefit fitted method and particle swarm optimization, a new hybrid algorithm of particle swarm optimization is proposed to estimate the parameters for Van Genuchtem equation and get better results. The result of a case study shows the algorithm is characterized with high accuracy, fast convergence and high robustness in the parameters estimation, moreover, it does not need the initial parameter value. Therefore, this method should be promoted.