Login
Register
Reset Password
Publish & Distribute
Publishing Solutions
Distribution Solutions
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Blog
Contact
Search
EUR
USD
GBP
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
Open Access
Early warning and detection of geological disasters based on intelligent genetic algorithm
Dan Sun
Dan Sun
,
ZhiMin Zhou
ZhiMin Zhou
and
ZhiWu Liao
ZhiWu Liao
| Jun 02, 2023
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
About this article
Previous Article
Next Article
Abstract
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Published Online:
Jun 02, 2023
Page range:
-
Received:
Jun 27, 2022
Accepted:
Oct 21, 2022
DOI:
https://doi.org/10.2478/amns.2023.1.00195
Keywords
Intelligent genetic algorithm
,
Geological disaster
,
Early warning and detection
,
SVR
,
Engineering application
© 2023 Dan Sun et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Dan Sun
Aba Teachers University, School of Computer Science and Technology
Aba, China
ZhiMin Zhou
Aba Teachers University, School of Resources and Environment
Aba, China
ZhiWu Liao
Sichuan Normal University, School of Computer Science
Chengdu, China