Compressive strength prediction of fly ash-based geopolymer concrete via advanced machine learning techniques

Engineering

• Machine Learning Technique 100%
• Compression Strength 100%
• Compressive Strength 100%
• Regressors 100%
• Geopolymer 100%
• Adaboost 66%
• Mean Square Error 33%
• Machine Learning Algorithm 33%
• Civil Engineering 33%
• Root Mean Square Error 33%
• Mean Absolute Error 33%
• Square Root 33%
• Clear Indication 33%
• Main Constituent 33%
• Cross-Validation Technique 33%

Chemical Engineering

• Learning System 100%