Table 5.

Multilayer feedforward neural network models for the prediction of Compressive Strength of geopolymer concrete.

Designation	Algorithm	Number of Hidden Layers	Neurons in the Hidden Layer
ANN-I	Bayesian Regularization (BR)	1	5
ANN-II	BR	1	10
ANN-III	Levenberg-Marquardt (LM)	1	5
ANN-IV	LM	1	10
ANN-V	Scaled Conjugate Gradient (SCG)	1	5
ANN-VI	SCG	1	10
ANN-VII	BR	2	h1 = 10, h2 = 5
ANN-VIII	BR	2	h1 = 10, h2 = 10
ANN-IX	LM	2	h1 = 10, h2 = 5
ANN-X	LM	2	h1 = 10, h2 = 10
ANN-XI	BR	3	h1 = 10, h2 = 10, h3 = 5
ANN-XII	BR	3	h1 = 10, h2 = 10, h3 = 10
ANN-XIII	LM	3	h1 = 10, h2 = 10, h3 = 5
ANN-XIV	LM	3	h1 = 10, h2 = 10, h3 = 10