Table 3.
Effect of the learning algorithm on the statistics of Multilayer Perceptrons (MLPs).
| BP | CG | QN | LM | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MLPs | RMS(T) | RMS(V) | SD Ratio | Correlation | RMS(T) | RMS(V) | SD Ratio | Correlation | RMS(T) | RMS(V) | SD Ratio | Correlation | RMS(T) | RMS(V) | SD Ration | Correlation |
| MLP 5:5-6-1:1 | 0.085 | 0.129 | 0.270 | 0.962 | 0.769 | 0.113 | 0.269 | 0.963 | 0.068 | 0.128 | 0.240 | 0.970 | 0.068 | 0.126 | 0.239 | 0.971 |
| MLP 5:5-7-1:1 | 0.084 | 0.107 | 0.254 | 0.967 | 0.077 | 0.118 | 0.265 | 0.964 | 0.068 | 0.129 | 0.237 | 0.971 | 0.067 | 0.129 | 0.235 | 0.972 |
| MLP 5:5-9-1:1 | 0.112 | 0.165 | 0.262 | 0.965 | 0.073 | 0.124 | 0.257 | 0.967 | 0.067 | 0.145 | 0.235 | 0.972 | 0.068 | 0.129 | 0.239 | 0.971 |