Robotics & Machine Learning Daily News2024,Issue(Jan.2) :69-70.

Reports from Jilin University Advance Knowledge in Machine Learning (Groundwater Contaminant Source Identification Considering Unknown Boundary Condition Based On an Automated Machine Learning Surrogate)

Robotics & Machine Learning Daily News2024,Issue(Jan.2) :69-70.

Reports from Jilin University Advance Knowledge in Machine Learning (Groundwater Contaminant Source Identification Considering Unknown Boundary Condition Based On an Automated Machine Learning Surrogate)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on Machine Learning is now available. According to news originatingfrom Changchun, People’s Republic of China, by NewsRx correspondents, research stated, “Groundwatercontamination source identification (GCSI) is a prerequisite for contamination risk evaluation and efficientgroundwater contamination remediation programs. The boundary condition generally is set as knownvariables in previous GCSI studies.”

Key words

Changchun/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Engineering/Machine Learning/Jilin University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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