首页|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)
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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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.”
Guangdong University of TechnologyGuan gzhouPeople’s Republic of ChinaAsiaArtificial IntelligenceEmerging Techn ologiesMachine Learning