Incorporating uncertainty in data driven regression models of fluidized bed gasification: A Bayesian approach

Keyphrases

• Data Regression 100%
• Bayesian Approach 100%
• Regression Model 100%
• Uncertain Data 100%
• Fluidized Bed Gasification 100%
• Bayesian Methods 50%
• Genetic Programming 50%
• Network Programming 50%
• Data-driven Modeling 50%
• Neural Network 50%
• Syngas Yield 50%
• Gasification Process 50%
• Yield Production 50%
• Prediction Method 50%
• Gaussian Process 50%
• Municipal Solid Waste Gasification 50%
• Markov Chain Monte Carlo Methods 50%
• Probabilistic Prediction 50%
• Nonlinear Regression 50%
• Maximum a Posteriori Estimation 50%
• Lower Heating Value 50%
• Fluidized Bed Gasifier 50%

Engineering

• Fluidized Bed Gasification 100%
• Bayesian Approach 100%
• Regression Technique 50%
• Gasification 50%
• Municipal Solid Waste 50%
• Syngas 50%
• Waste Gasification 50%
• Nonlinear Regression 50%
• Gaussians 50%
• Bayesian Methodology 50%
• Low Heating Value 50%
• Fluidized Bed Gasifier 50%
• Model Parameter 50%
• Maximum a Posteriori 50%

Chemical Engineering

• Gasification 100%
• Fluidized Bed 100%
• Neural Network 33%