National Yang Ming Chiao Tung University Researchers Describe Recent Advances in Machine Learning (Predictions of Lattice Parameters in NiTi High-Entropy Shape- Memory Alloys Using Different Machine Learning Models)

Robotics & Machine Learning Daily News2024，Issue(Oct.28) ：90-90.

来源：

NETL
NSTL

National Yang Ming Chiao Tung University Researchers Describe Recent Advances in Machine Learning (Predictions of Lattice Parameters in NiTi High-Entropy Shape- Memory Alloys Using Different Machine Learning Models)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligence have been presented. According to news originating from Hsinchu, Taiwan, by NewsRx correspondents, research stated, “This work applied three machine learning (ML) models-linear regression (LR), random forest (RF), and support vector regression (SVR)-to predict the lattice parameters of the monoclinic B19’ phase in two distinct training datasets: previously published ZrO -based shape-memory ceramics (SMCs) And NiTi-based high-entropy shape-memory alloys (HESMAs).”

Key words

National Yang Ming Chiao Tung University/Hsinchu/Taiwan/Asia/Alloys/Cyborgs/Emerging Technologies/Machine Learning

引用本文复制引用

出版年

2024

Robotics & Machine Learning Daily News

ISSN：

段落导航