Performance Evaluation of Artificial Neural Network Methods for Moisture Content Determination in Lightweight Foamed Concrete Using a Microwave Sensor

What is it about?

This study explores using artificial neural networks (ANNs) with a microwave sensor to non-invasively measure moisture content in lightweight foam concrete (LFC). Optimal ANN configurations were identified, achieving high accuracy. The findings demonstrate that ANNs provide a reliable, real-time solution for monitoring moisture content in LFC, enhancing construction practices.

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