public void Build(AnnBuild AnnBuilding)
{
if (network != null)
{
network.Destroy();
}
network = new Mlp(
AnnBuilding.InputUnits,
AnnBuilding.HiddenUnits,
AnnBuilding.HiddenLayers,
AnnBuilding.OutputUnits,
AnnBuilding.Bias,
AnnBuilding.ActivationNeuroMode
);
synInitMode = AnnBuilding.SynInitMode;
network.Instantiate();
status = NetworkStatus.UNTRAINED;
logger.InfoFormat("Building neural network classifier: {0}", this.ToString());
}
private void Build(uint input, uint hiddenLayers, uint[] hiddenNeurons, uint output)
{
// Build network model
mlpNetwork = new Mlp(input, hiddenNeurons, hiddenLayers, output);
mlpNetwork.Instantiate();
}
public libsannTest()
{
uint[] hlayers = new uint[1];
hlayers[0] = 2;
mlpNetwork = new Mlp(2, hlayers, 1, 1);
}
