首页|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)
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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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.”
LisbonPortugalEuropeAlgorithmsCy borgsEmerging TechnologiesMachine LearningUniversity of Lisbon
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