Robotics & Machine Learning Daily News2024,Issue(Sep.6) :113-114.

Researchers from University of Lisbon Describe Findings in Machine Learning (Con junct Applicability of Mcdm-based Machine Learning Algorithms In Mapping the Sed iment Formation Potential)

Robotics & Machine Learning Daily News2024,Issue(Sep.6) :113-114.

Researchers from University of Lisbon Describe Findings in Machine Learning (Con junct Applicability of Mcdm-based Machine Learning Algorithms In Mapping the Sed iment Formation Potential)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews ; A new study on Machine Learning is now available. According to news reporting originatingin Lisbon, Portugal, by NewsRx journali sts, research stated, “This study evaluates the applicability ofmulticriteria d ecision-making (MCDM) methods, including SAW, VIKOR, TOPSIS, and Condorcet algorithm based on game theory and machine learning algorithms (MLAs) including K-nea rest neighbor, Na& iuml;ve Bayes, Random Forest (RF), simple line ar regression and support vector machine in spatialmapping of sediment formatio n potential in Talar watershed, Iran. In the first approach, MCDM wasused, incl uding SAW, VIKOR, TOPSIS, and Condorcet’s algorithm based on game theory.”

Key words

Lisbon/Portugal/Europe/Algorithms/Cy borgs/Emerging Technologies/Machine Learning/University of Lisbon

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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