Table 14 The complete specifications of both selected optimal networks.

From: Predicting the compressive strength of self-compacting concrete by developed African vulture optimization algorithm-Elman neural networks

Network output

7-day compressive strength

28-day compressive strength

Selected network

Elman with 140 inputs

Elman with 140 inputs

Optimal number of neurons

180

270

Number of consecutive attempts

50

100

Optimal transfer function

Tansig–Tansig

Tansig–Tansig

Algorithm

DAVOA

DAVOA

MSE (Test)

11/69

18/59

MSE (Train)

12.57

18.59

R (Test)

0.96

0.97

R (Train)

0.95

0.97