煤田地质与勘探2017，Vol.45Issue(3)：87-90,95,5.DOI:10.3969/j.issn.1001-1986.2017.03.016
机器学习算法反求水文地质参数
Identification of hydrogeological parameters based on machine learning algorithm
摘要
Abstract
When solving optimization problem, the traditional method determines the objective function on the ba-sis of the least squares principle without considering the influence of the error of the original measurement data on the results and the accuracy of calculation. Therefore machine learning algorithm is proposed in this paper to im-prove the general objective function and to solve the hydrogeological parameters in combination with particle swarm optimization of double evaluation. The result shows that machine learning algorithm has good convergence and stability as well as high solution efficiency, is simple and easy to realize.关键词
机器学习/双评价粒子群/水文地质参数Key words
machine learning/particle swarm of double evaluation/hydrogeological parameters分类
天文与地球科学引用本文复制引用
强玲娟,常安定,陈玉雪..机器学习算法反求水文地质参数[J].煤田地质与勘探,2017,45(3):87-90,95,5.基金项目
陕西省科技计划项目(2015JM1022) Shaanxi Science and Technology Plan Projects(2015JM1022) （2015JM1022）
