Research Article

Predictive Model of Humidity in Greenhouses through Fuzzy Inference Systems Applying Optimization Methods

Table 5

Mean error values for the runs of the predictive models.

Fuzzy inference systemTrainingValidation

Sugeno cluster1.500e − 21.213e − 11.090e − 36.667e − 64.446e − 19.760e − 39.351e − 21.293e − 33.667e − 52.628e − 1
ANFIS cluster6.237e − 37.866e − 27.167e − 404.401e − 11.296e − 21.109e − 11.550e − 32.333e − 54.567e − 1
Mamdani cluster1.284e − 21.132e − 11.023e − 33.333e − 64.185e − 16.793e − 38.220e − 21.147e − 37.000e − 52.560e − 1
Sugeno2.069e − 21.413e − 11.283e − 31.667e − 57.227e − 11.523e − 21.154e − 11.597e − 38.333e − 53.555e − 1
ANFIS6.230e − 37.889e − 27.067e − 404.854e − 11.247e − 21.102e − 11.530e − 32.000e − 55.084e − 1
Mamdani1.073e − 21.035e − 19.267e − 48.333e − 54.772e − 11.142e − 21.022e − 11.420e − 31.267e − 43.728e − 1