A Neural Network-Based Prediction of Superplasticizers Effect on the Workability and Compressive Characteristics of Portland Pozzolana Cement-Based Mortars

Table 7

Input and target variables accessed in the ANN prediction system.

Variables	Range	Remarks
W/C ratio	0.6–0.75	Input variables
Ligno- and SNF-based admixtures (%)	0.2–0.8
Slump flow (mm)	90–220	Target variables
Compressive strength (MPa)	2.1–22.4