Gradiant Descent Algorithm (GD)

The number of variables (Input Layer)

13

The number of Distance Layer

1

Neuron Per Distance Layer

4

Transfer Function of Input Layer

Tangent Sigmoid

Transfer Function of Distance Layer

Tangent Sigmoid

The number of variables (Output Layer)

1

Transfer Function of Output Layer

Tangent Sigmoid

Learning Algorithm

Gradiant Descent

MAE Training

18.84

MAE Test

143.76

MAE Validity

63.22

MAPE Training

0.0854

MAPE Test

0.2716

MAPE Validity

0.154

RMSE Training

0.1068

RMSE Test

0.2716

RMSE Validity

0.1775