Open AccessImproved mining subsidence prediction model for high water level area using machine learning and chaos theory
Author(s) -
Xu Yang,
Xingda Chen,
Xinjian Fang,
Shenshen Chi,
Mingfei Zhu
Publication year - 2022
Publication title -
energy exploration and exploitation
Language(s) - English
Resource type - Journals
eISSN - 2048-4054
pISSN - 0144-5987
DOI - 10.1177/01445987221107679
Subject(s) - support vector machine , gsm , subsidence , data mining , residual , groundwater , computer science , chaotic , artificial intelligence , machine learning , algorithm , geology , geotechnical engineering , telecommunications , paleontology , structural basin