Table 3 Summary of the training results for the five best ANNs in the RCMSC-ANN variant of the analysis. See text for details.

From: Development and optimization of a morphodiversity model for mountainous areas using supervised classification and artificial neural networks

ID

ANN

Prediction quality [%]

Training algorithm and number of epochs

Training error function

Activation function of the hidden neurons

Activation function of the output neurons

T

U

V

1

MLP 7–12-2

91.43

91.43

92.86

BFGS 4

ESOS

Exponential

Sigmoid

2

MLP 7-7-2

97.14

95.71

98.57

BFGS 11

ESOS

Sigmoid

Identity

3

MLP 7-4-2

91.43

94.29

95.61

BFGS 7

ESOS

Sine

Tanh

4

MLP 7–9-2

97.14

92.86

98.57

BFGS 7

ESOS

Tanh

Tanh

5

MLP 7–9-2

97.14

94.29

98.57

BFGS 10

ESOS

Sigmoid

Identity