Robotics & Machine Learning Daily News2024,Issue(Dec.12) :115-115.

Recent Studies from Zhejiang Science Technical University Add New Data to Machin e Learning (Tree-based Pipeline Optimization-based Automated-machine Learning Mo del for Performance Prediction of Materials and Structures: Case Studies and Ui ...)

Robotics & Machine Learning Daily News2024,Issue(Dec.12) :115-115.

Recent Studies from Zhejiang Science Technical University Add New Data to Machin e Learning (Tree-based Pipeline Optimization-based Automated-machine Learning Mo del for Performance Prediction of Materials and Structures: Case Studies and Ui ...)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsoriginating from Hangzhou, People’s Re public of China, by NewsRx correspondents, research stated,“Machine learning (M L) methods have become increasingly prominent for predicting material and structural performance in civil engineering. However, these methods often require repe titive iterations andoptimizations by professionals to obtain an optimal model, which are time-consuming and challenging fornonexpert users.”

Key words

Hangzhou/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Engineering/Machine Learning/Zhejiang Scie nce Technical University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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