An intelligent approach for estimating aeration efficiency in stepped cascades: optimized support vector regression models and mutual information theory

Mathematics

• Alternatives 6%
• Bayesian Methods 11%
• Cascade 69%
• Coefficient 10%
• Computing Methods 15%
• Engineering 8%
• Entropy 17%
• Entropy Method 30%
• Epistemic Uncertainty 18%
• Fatty Acids 45%
• Hydraulics 26%
• Inclination 14%
• Information Theory 71%
• Laplace 10%
• Maximum Likelihood 9%
• Mean square error 21%
• Minimax 10%
• Model 17%
• Mutual Information 79%
• Optimization Algorithm 11%
• Output 8%
• Performance 12%
• Performance Prediction 16%
• Prediction 26%
• Prediction Model 14%
• Quantify 11%
• Regression Model 53%
• Roots 16%
• Soft Computing 48%
• Support Vector 50%
• Support Vector Regression 100%
• Testing 7%
• Uncertainty 9%
• Uncertainty Analysis 16%
• Unit 7%
• Valid 8%
• Vector Optimization 13%

Engineering & Materials Science

• Entropy 31%
• Hydraulic structures 13%
• Hydraulics 7%
• Information theory 75%
• Maximum likelihood 8%
• Mean square error 17%
• Soft computing 33%
• Support vector regression 76%
• Testing 4%
• Uncertainty 11%
• Uncertainty analysis 11%
• Weirs 14%