Robotics & Machine Learning Daily News2024,Issue(Nov.5) :119-120.

Researchers from Changsha University of Science and Technology Report Details of New Studies and Findings in the Area of Machine Learning (Multi-stage Damage Id entification Method for Pc Structures Based On Machine Learning Driven By ...)

Robotics & Machine Learning Daily News2024,Issue(Nov.5) :119-120.

Researchers from Changsha University of Science and Technology Report Details of New Studies and Findings in the Area of Machine Learning (Multi-stage Damage Id entification Method for Pc Structures Based On Machine Learning Driven By ...)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report.According to news reporting out of Changsha, Peop le’s Republic of China, by NewsRx editors, research stated, “Efficient and accur ate damage identification methods are great significant for ensuring the structu ral safety.This study proposes a multi-stage damage identification method for p restressed concrete (PC) structures based on machine learning driven by piezoele ctric singular feature to improve the identification accuracy.”Financial supporters for this research include National Natural Science Foundati on of China (NSFC), National Key Research & Development Program of China, Science and Technology Innovation Program of Hunan Province.

Key words

Changsha/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning/Changsha University of Sci ence and Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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