Methods of Estimation of Hydraulic Conductivity with Genetic Algorithm-Support Vector Regression Machine
详细信息
- 责任者：Chen Haiyang (College of Water Science ; Beijing Normal University ; Beijing 100875 ; China) ; Teng Yanguo
- 刊名：Hydrogeology and Engineering Geology
- 出版年：2011
- 卷期：38(2)
- 关键词：渗透系数 ; permeability coefficient
- 页码：p.14-18
- 图表：5 tables, 9 refs.
- 分类号：1701
- issnNo：ISSN1000-3665
- isbnNo：CN11-2202/P
摘要
The hypostasis of estimation of hydraulic conductivity is a problem of optimization. Genetic algorithm is a method to search solution in a whole domain based on nature choice and population heredity, which can be used to solute the complex non-linear optimization problem including estimation of hydraulic conductivity. The result shows that the methods of estimation of hydraulic conductivity with genetic algorithm-support vector regression machine have some advantages, including good effect of estimation, improvement of the search efficiency. The result precisions based on GA-SVR satisfy the need of application and avoid the local optimization solution.