首页|期刊导航|Journal of Groundwater Science and Engineering|A state-of-the-art Fuzzy Nonlinear Additive Regression(FNAR)model for groundwater level prediction

A state-of-the-art Fuzzy Nonlinear Additive Regression(FNAR)model for groundwater level prediction

Sepideh Zeraati Neyshabouri Abbas Khashei-Siuki Mohammad Ghasem Akbari

Journal of Groundwater Science and Engineering2026，Vol.14Issue(1)：P.83-99,17.

Journal of Groundwater Science and Engineering2026，Vol.14Issue(1)：P.83-99,17.DOI:10.26599/JGSE.2026.9280074

A state-of-the-art Fuzzy Nonlinear Additive Regression(FNAR)model for groundwater level prediction

Sepideh Zeraati Neyshabouri ¹Abbas Khashei-Siuki ¹Mohammad Ghasem Akbari²

作者信息

1. Department of Water Engineering,University of Birjand,Birjand,Iran
2. Department of Mathematical Sciences,University of Birjand,Birjand,Iran Department of Statistics,Faculty of Mathematical Sciences,Ferdowsi University of Mashhad,Mashhad,Iran
折叠

摘要

关键词

Birjand aquifer/Data-scarce regions/Fuzzy-based approach/Groundwater table/Novel statistical model/Soft computing

分类

天文与地球科学

引用本文复制引用

Sepideh Zeraati Neyshabouri,Abbas Khashei-Siuki,Mohammad Ghasem Akbari..A state-of-the-art Fuzzy Nonlinear Additive Regression(FNAR)model for groundwater level prediction[J].Journal of Groundwater Science and Engineering,2026,14(1):P.83-99,17.

基金项目

supported by the Iran National Science Foundation(INSF) （INSF）

the University of Birjand under grant number 4034771. （）

Journal of Groundwater Science and Engineering

ISSN：2305-7068

访问量0

下载量0

段落导航