Prediction of Mechanical Properties of Aluminium Alloy Strip Using the Extreme Learning Machine Model Optimized by the Gray Wolf Algorithm
Mechanical properties are important indicators for evaluating the quality of strips. This paper proposes a mechanical performance prediction model based on the Gray Wolf Optimization (GWO) algorithm and the Extreme Learning Machine (ELM) algorithm. In the modeling process, GWO is used to determine t...
Saved in:
Main Authors: | Zhenqiang Xiong, Jiadong Li, Peng Zhao, Yong Li |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2023-01-01
|
Series: | Advances in Materials Science and Engineering |
Online Access: | http://dx.doi.org/10.1155/2023/5952072 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Retracted: Prediction Analysis of College Students’ Physical Activity Behavior by Improving Gray Wolf Algorithm and Support Vector Machine
by: Advances in Multimedia
Published: (2023-01-01) -
Dynamic Community in static social networks using the gray wolf optimizer algorithm
by: Fatemeh Besharatnia, et al.
Published: (2020-03-01) -
An improved gray wolf optimization algorithm solving to functional optimization and engineering design problems
by: Yihui Qiu, et al.
Published: (2024-06-01) -
Design and Optimization of a Droop Controller to Fix the Frequency of a Microgrid System Using the Gray wolf Algorithm with Stability Analysis
by: Zhi Yuan, et al.
Published: (2023-09-01) -
Friction Welding of Aluminium and Aluminium Alloys with Steel
by: Andrzej Ambroziak, et al.
Published: (2014-01-01)