Application of Soft Computing Techniques to Predict the Strength of Geopolymer Composites

Engineering

• Learning System 100%
• Geopolymer Composite 100%
• Learning Approach 80%
• Machine Learning Technique 60%
• Compression Strength 40%
• Compressive Strength 40%
• Random Forest 40%
• Root Mean Square Error 20%
• Test Specimen 20%
• Error Value 20%
• Mean Absolute Error 20%
• Ordinary Portland Cement 20%
• Geopolymer 20%
• Building Industry 20%
• Acceptable Limit 20%

Material Science

• Composite Material 100%
• Geopolymer 100%
• Compressive Strength 40%
• Materials Property 20%
• Portland Cement 20%
• Aluminosilicate 20%

Chemical Engineering

• Learning System 100%
• Aluminosilicate 12%