[1]顾冲时,崔欣然,顾昊,等.基于多变量灰色系统的乏信息堤防变形短期预测模型[J].江苏水利,2024,(06):1-5.
 GU Chongshi,CUI Xinran,GU Hao,et al.Short term prediction model of poorinformation levee deformation based on multi-variable grey system[J].JIANGSU WATER RESOURCES,2024,(06):1-5.
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基于多变量灰色系统的乏信息堤防变形短期预测模型()
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《江苏水利》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2024年06期
页码:
1-5
栏目:
治水前沿观察
出版日期:
2024-06-15

文章信息/Info

Title:
Short term prediction model of poorinformation levee deformation based on multi-variable grey system
作者:
顾冲时1崔欣然1顾昊1吴艳2朱明远2林旭3郭瑞3
(1. 河海大学 水利水电学院,江苏 南京 210098;2. 新疆水利水电科学研究院,新疆 乌鲁木齐 830049;3. 淮安市水利勘测设计研究院有限公司,江苏 淮安 223001)
Author(s):
GU Chongshi1 CUI Xinran1 GU Hao1 WU Yan2 ZHU Mingyuan2 LIN Xu3 GUO Rui3
(1. College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China;2. Xinjiang Institute of Water Resources and Hydropower Research, Urumqi 830049, China;3. Huai’an Water Conservancy Survey Design and Research Institute Co., Ltd., Huai’an 223001, China)
关键词:
乏信息堤防多变量灰色模型分数阶微积分混沌粒子群算法
Keywords:
poorinformation levee multi-variable grey model fractional calculus chaotic particle swarm optimization algorithm
分类号:
TV698.2
文献标志码:
B
摘要:
依据信息模糊和不确定状态下乏信息数据处理理论,提出了一种改进多变量灰色系统的乏信息堤防短期预测模型;引入多变量灰色模型对多测点的沉降变形序列进行拟合,结合混沌粒子群优化算法和分数阶微积分理论,实现了在乏信息条件下对堤防多测点变形的短期预测;由对比结果可知,研究提出的模型可行且有效,填补了堤防乏信息处理模型的空白。
Abstract:
Based on the theory of data processing of poorinformation under fuzzy and uncertain information, an improved multi-variable grey system short-term prediction model of poorinformation levee is proposed. The multi-variable grey model is introduced to fit the sedimentation deformation sequence of multi-measuring points. Combined with chaotic particle swarm optimization algorithm and fractional calculus theory, the short-term prediction of deformation of multi-measuring points is realized under the condition of lack of information. The comparison results show that the proposed model is feasible and effective, filling the gap in the poorinformation processing model of levee flood.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2024-03-27
基金项目:江苏省水利科技项目(2022024);河海大学中央高校基本科研业务费项目(B230201011);国家自然科学基金(U2243223,52379122);江苏省科协青年科技人才托举工程(TJ-2022-076);安徽省自然科学基金联合基金(2208085US17);新疆维吾尔自治区水利科技专项(XSKJ-2023-23)
作者简介:顾冲时(1962—),男,教授,博士,主要从事水工结构安全监控研究。E-mail:csgu@hhu.edu.cn
通信作者:顾昊(1990—),男,教授,博士,主要从事水工结构安全监控研究。E-mail:ghao@hhu.edu.cn
更新日期/Last Update: 2024-06-15