Review of explainable machine learning for anaerobic digestion

Keyphrases

• Anaerobic Digestion 100%
• Anaerobic Digestion Modelling 25%
• Black Box Machine Learning 25%
• Design Condition 25%
• Explainable Machine Learning 100%
• Fault Detection 25%
• Global Model 25%
• Interpretability Evaluation 25%
• Latest Progress 25%
• Life Cycle Assessment 25%
• Local Model 25%
• Machine Learning 50%
• Machine Learning Applications 25%
• Machine Learning Approach 25%
• Model Interpretability 25%
• Modeling Tools 25%
• Off-design Performance 25%
• Operating Conditions 25%
• Operation Prediction 25%
• Optimization Tool 25%
• Organic Waste 25%
• Partial Dependence Analysis 25%
• Permutation Importance 25%
• Promising Technology 25%
• Shapley Value 25%
• Soft Computing Techniques 50%
• Sustainable Waste Management 25%
• System Design 25%
• Term Operation 25%
• What-if Scenario Analysis 25%

Engineering

• Anaerobic Digestion 100%
• Black Box 20%
• Learning Approach 20%
• Learning System 100%
• Life Cycle Assessment 20%
• Local Model 20%
• Metrics 20%
• Organic Waste 20%

Chemical Engineering

• Anaerobic Digestion 100%
• Learning System 100%