Table 3. Configurations of the best neural networks for each of the five different random partitions of the Californian and Mediterranean data sets. The output layer always contains a single neuron. 'Li' indicates linear transfer functions, 'Lo' logistic transfer functions and 'T' hyperbolic tangent transfer functions.
| California data set | |||
| Partition | First hidden layer | Second hidden layer | Output layer |
| 1 | 12Lo, 3T, 13Li | 2Lo, 16T | 1Lo |
| 2 | 9Lo, 12T, 8Li | 5Lo, 12T, 4Li | 1Lo |
| 3 | 11Lo, 1Li | -- | 1Lo |
| 4 | 7Lo, 8T | -- | 1Lo |
| 5 | 4Lo, 5T, 6Li | -- | 1Lo |
| Mediterranean data set | |||
| Partition | First hidden layer | Second hidden layer | Output Layer |
| 1 | 12Lo, 3T, 13Li | -- | 1Li |
| 2 | 13Lo, 5T | -- | 1Lo |
| 3 | 14Lo, 7T | -- | 1Lo |
| 4 | 3Lo, 7T | -- | 1Lo |
| 5 | 31Lo | -- | 1Lo |