Network | Active Confusion Matrix | Performance | Time | |||||||||
Epochs | 0→0 | 0→1 | 1→0 | 1→1 | MSE | NMSE | r | %error | AIC | MDL | ||
SVM | 1000 | 100 | 0 | 0 | 100 | 0.030 | 0.058 | 0.999 | 4.694 | 22975.56 | 39178.38 | 2'57'' |
Hybrid Networks |
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SVM GA inputs | 1000 | 100 | 0 | 0 | 100 | 0.347 | 0.664 | 0.999 | 5.5709 | 10152.80 | 17374.04 | 23 h 52'35'' |
SVM GA all layers | 500 | 100 | 0 | 0 | 100 | 0.863 | 2.852 | 0.999 | 44.961 | 7748.79 | 12858.68 | 2 h 25'02'' |
SVM GA all layers | 1000 | 100 | 0 | 0 | 100 | 0.504 | 1.488 | 0.999 | 29.248 | 7322.56 | 7284.53 | 3 h 31'35'' |