Prediction of California Bearing Ratio Using Soil Index Properties by Regression and Machine-Learning Techniques
Mohammad A. Khasawneh, Haneen I. Al-Akhrass, Samer R. Rabab’ah, Ahmed O. Al-sugaier
Topics & Concepts
Atterberg limitsCalifornia bearing ratioSieve (category theory)Sieve analysisCoefficient of determinationSubgradeLinear regressionMathematicsRegression analysisGradationSoil scienceArtificial neural networkSoil testStatisticsMean squared errorMachine learningArtificial intelligenceGeotechnical engineeringWater contentEnvironmental scienceEngineeringComputer scienceSoil waterCombinatoricsSoil and Unsaturated FlowLandfill Environmental Impact StudiesGeotechnical Engineering and Soil Stabilization