版权说明 操作指南
首页 > 成果 > 详情

A Class of Parameter Estimation Methods for Nonlinear Muskingum Model Using Hybrid Invasive Weed Optimization Algorithm

认领
导出
Link by DOI
反馈
分享
QQ微信 微博
成果类型:
期刊论文
作者:
Ouyang, Aijia;Liu, Li-Bin;Sheng, Zhou;Wu, Fan*
通讯作者:
Wu, Fan
作者机构:
[Ouyang, Aijia; Wu, Fan] Hunan Univ, Coll Comp Sci & Elect Engn, Changsha 410082, Hunan, Peoples R China.
[Ouyang, Aijia] Hunan City Univ, Sch Informat Sci & Engn, Yiyang 413000, Hunan, Peoples R China.
[Liu, Li-Bin] Chizhou Coll, Dept Math & Comp Sci, Chizhou 247000, Anhui, Peoples R China.
[Sheng, Zhou] Guangxi Univ, Coll Math & Informat Sci, Nanning 530004, Guangxi, Peoples R China.
通讯机构:
[Wu, Fan] H
Hunan Univ, Coll Comp Sci & Elect Engn, Changsha 410082, Hunan, Peoples R China.
语种:
英文
期刊:
Mathematical Problems in Engineering
ISSN:
1024-123X
年:
2015
卷:
2015
期:
3
基金类别:
National Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [11301044]; key projects of excellent young talents fund in universities of Anhui province [2013SQRL095ZD]; Scientific Research Fund of Hunan Provincial Education DepartmentHunan Provincial Education Department [13C333]; Science and Technology Research Foundation of Hunan Province [2014GK3043]
机构署名:
本校为其他机构
院系归属:
信息与电子工程学院
摘要:
Nonlinear Muskingum models are important tools in hydrological forecasting. In this paper, we have come up with a class of new discretization schemes including a parameter θto approximate the nonlinear Muskingum model based on general trapezoid formulas. The accuracy of these schemes is second order, if θ≠1/3, but interestingly when θ= 1/3, the accuracy of the presented scheme gets improved to third order. Then, the present schemes are transformed into an unconstrained optimization problem which can be solved by a hybrid invasive weed optimization (HIWO) algorithm. Finally...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com