Network type

MLP

Number of layers

4

Number of hidden layers

2

Input activation function

Tangent sigmoid

Output activation function

Linear

Iteration

2000

Learning rate

0.1

Momentum constant

0.7

MAE% for training

12.80

MAE% for test

10.01

MAE% for validation

12.87