Deep fuzzy clustering inference network and its application to non-destructively estimating strength of cement microstructure

Key Points

• Strength estimation shows a promising correlation with traditional testing methods, implying accuracy in non-destructive applications.
• Fuzzy clustering achieves 85% accuracy in predicting cement strength based on microstructural data.
• The approach applies deep fuzzy clustering techniques using a novel inference network on cement samples.
• Highlights the potential for non-destructive testing methods to provide accurate assessments of cement strength.