Modeling Slump of Ready Mix Concrete Using Genetically Evolved Artificial Neural Networks

Table 2

Statistical performance of ANN models for training, validation, and testing data sets.

Model	MAE (mm)	RMSE (mm)	MAPE (%)			RSR
Training
ANN	1.7378	2.4027	1.1862	0.9804	0.9610	0.1974
ANN-GA	1.506	2.2357	1.0479	0.9830	0.9663	0.1837
Validation
ANN	1.9829	2.7489	1.3474	0.9746	0.9482	0.2276
ANN-GA	1.6299	2.4687	1.0991	0.9794	0.9582	0.2044
Testing
ANN	2.0651	2.9582	1.3916	0.9735	0.9474	0.2294
ANN-GA	1.7769	2.6295	1.2382	0.9803	0.9584	0.2039