Artificial intelligence for time-efficient prediction and optimization of solid oxide fuel cell performances

Engineering

• Prediction 100%
• Models 100%
• Optimization 100%
• Complexity 100%
• Artificial Neural Network 100%
• Hidden Layer 100%
• Good Agreement 50%
• Dataset 50%
• Reliability 50%
• Polarization Curve 50%
• Measured Data 50%
• Operating Temperature 50%
• Artificial Neural Network Model 50%
• Solid Oxide Fuel Cell 50%
• Main Issue 50%
• Good Accuracy 50%
• Operating Environment 50%
• Low Current Density 50%

Chemical Engineering

• Neural Network 100%
• Artificial Intelligence 100%
• Solid Oxide Fuel Cells Performance 100%
• Temperature 33%