Predicting compressive strength of coral concrete under complex environment based on CPO-optimized hybrid neural networks

Key Points

• Coral concrete achieves significant predictive accuracy for compressive strength, indicating its potential for construction use.
• The CPO-optimized model provides robust predictions under various complex environmental conditions, enhancing reliability.
• Assessment using hybrid neural networks reveals a strong relationship between environmental factors and concrete strength.
• Implications highlight the necessity for sustainable materials in construction, particularly under challenging environments.