Robotics & Machine Learning Daily News2024,Issue(Mar.15) :86-87.

Guangdong University of Technology Researcher Reports Research in Artificial Int elligence (Artificial Intelligence-Based Damage Identification Method Using Prin cipal Component Analysis with Spatial and Multi-Scale Temporal Windows)

Robotics & Machine Learning Daily News2024,Issue(Mar.15) :86-87.

Guangdong University of Technology Researcher Reports Research in Artificial Int elligence (Artificial Intelligence-Based Damage Identification Method Using Prin cipal Component Analysis with Spatial and Multi-Scale Temporal Windows)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on artificial in telligence have been published. According to news reporting out of Guangzhou, Pe ople’s Republic of China, by NewsRx editors, research stated, “Previous studies have demonstrated the superior damage identification performance of the double-w indow principal component analysis (DWPCA) method over traditional PCA methods a nd other traditional techniques, such as wavelet and regression analysis. DWPCA uses temporal windows to discriminate structural states and spatial windows to e xclude damage-insensitive responses, making it more effective for damage identif ication.”

Key words

Guangdong University of Technology/Guan gzhou/People’s Republic of China/Asia/Artificial Intelligence/Emerging Techn ologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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