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An Artificial Intelligence Approach Based on Multi-layer Perceptron Neural Network and Random Forest for Predicting Maximum Dry Density and Optimum Moisture Content of Soil Material in Quang Ninh Province, Vietnam

Manh Nguyen Duc, An Ho Sy, Truong Nguyen Ngoc, Thuy Linh Hoang Thi

2021Lecture notes in civil engineering11 citationsDOI

Topics & Concepts

Atterberg limitsWater contentMean squared errorSiltArtificial neural networkPerceptronMathematicsStatisticsGeotechnical engineeringSoil scienceMachine learningEngineeringArtificial intelligenceEnvironmental scienceComputer scienceGeologyPaleontologySoil and Unsaturated FlowGeotechnical Engineering and AnalysisLandslides and related hazards
An Artificial Intelligence Approach Based on Multi-layer Perceptron Neural Network and Random Forest for Predicting Maximum Dry Density and Optimum Moisture Content of Soil Material in Quang Ninh Province, Vietnam | Litcius