Our Technology

Using a non-liner model and ANN algorithm to predict compressive strength

Developed an additional conditional/environmental model to individualize mixture optimization for each project

Predicted outputs show promising accuracy

Data: Out of 1030 data patterns, 80% (824 patterns) have been used for training, 10% (103 patterns) for cross validation, and 10% (103 patterns) for network test.