Effluent composition prediction of a two-stage anaerobic digestion process: machine learning and stoichiometry techniques

Keyphrases

• Machine Learning 100%
• Stoichiometry 100%
• Effluent 100%
• Anaerobic Digestion 100%
• Two-stage Anaerobic Digestion 100%
• Process Machine 100%
• Composition Prediction 100%
• Support Vector Machine 66%
• Analytical Method 66%
• Total Ammonia Nitrogen 50%
• Self-adaptive 16%
• Artificial Neural Network 16%
• Prediction Accuracy 16%
• Methodological Support 16%
• Chemical Oxygen Demand 16%
• Ammonia Production 16%
• Poultry Manure 16%
• Total Solids 16%
• Ammonia Nitrogen Prediction 16%
• Total Volatile Solid 16%
• Polluting 16%
• Ammonia Nitrogen Concentration 16%

INIS

• prediction 100%
• machine learning 100%
• stoichiometry 100%
• anaerobic digestion 100%
• vectors 66%
• ammonia 66%
• nitrogen 50%
• comparative evaluations 33%
• solids 33%
• dynamics 16%
• data 16%
• production 16%
• accuracy 16%
• neural networks 16%
• concentration 16%
• errors 16%
• proteins 16%
• nonlinear problems 16%
• pollutants 16%
• experimental data 16%
• volatility 16%
• poultry 16%
• manures 16%
• chemical oxygen demand 16%

Chemical Engineering

• Learning System 100%
• Anaerobic Digestion 100%
• Two-Stage Anaerobic Digestion 100%
• Ammonia 66%
• Support Vector Machine 66%
• Nitrogen 50%
• Neural Network 16%
• Chemical Oxygen Demand 16%