Study Results from Grenoble INP Broaden Understanding of Machine Learning (Pore Water Pressure Prediction Based on Machine Learning Methods-Application to an Ea rth Dam Case)

Robotics & Machine Learning Daily News2024，Issue(Jul.1) ：70-70.

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Study Results from Grenoble INP Broaden Understanding of Machine Learning (Pore Water Pressure Prediction Based on Machine Learning Methods-Application to an Ea rth Dam Case)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news reporting originating from Grenoble, Fr ance, by NewsRx correspondents, research stated, “Pore water pressure (PWP) resp onse is significant for evaluating the earth dams’ stability, and PWPs are, ther efore, generally monitored.” Funders for this research include China Scholarship Council.

Key words

Grenoble INP/Grenoble/France/Europe/Cyborgs/Emerging Technologies/Machine Learning/Perceptron

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出版年

2024

Robotics & Machine Learning Daily News

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