Figure 17. The regression plot showing the predicted (output) and target
(observed) values for validation dataset during validation stage of ANN
model (RHA and A-7-5 and cement).
Figure 18 shows the training performance. Generally, the error reduces
after more epochs of training, but might start to increase on the
validation data set as the network starts overfitting the training data
in the default setup, the training stops after six consecutive increases
in validation error and the best performance is taken from the epoch
with the lowest validation error [30].