Robotics & Machine Learning Daily News2024,Issue(Jul.18) :42-43.

Research from School of Civil Engineering and Architecture Yields New Data on Su pport Vector Machines (Promoting low carbon construction using alkali-activated materials: A modeling study for strength prediction and feature interaction)

Robotics & Machine Learning Daily News2024,Issue(Jul.18) :42-43.

Research from School of Civil Engineering and Architecture Yields New Data on Su pport Vector Machines (Promoting low carbon construction using alkali-activated materials: A modeling study for strength prediction and feature interaction)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on su pport vector machines. According to newsreporting from the School of Civil Engi neering and Architecture by NewsRx journalists, research stated, “Inplace of Po rtland cement concrete, alkali-activated materials (AAMs) are becoming more popu lar becauseof their widespread use and low environmental effects. Unfortunately , reliable property predictions havebeen impeded by the restrictions of convent ional materials science methods and the large compositionalvariability of AAMs. ”

Key words

School of Civil Engineering and Architec ture/Machine Learning/Support Vector Machines

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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