Self-healing performance assessment of bacterial-based concrete using machine learning approaches

Engineering & Materials Science

• Self healing concrete 100%
• Machine learning 56%
• Concretes 52%
• Bacteria 21%
• Support vector regression 11%
• Random forests 10%
• Decision trees 9%
• Deep neural networks 9%
• Mean square error 8%
• Sensitivity analysis 8%
• Tuning 7%
• Cracks 6%
• Mechanical properties 6%
• Costs 3%

Chemistry

• Error 58%
• Environment 43%
• Time 27%
• Application 24%