public NetworkData GetNetworkData()
{
List <ConnectionData> conns = new List <ConnectionData>();
List <LayerData> lays = new List <LayerData>();
foreach (Layer layer in Layers)
{
LayerData newlayerData = new LayerData()
{
NumNeuron = layer.NumNeurons, ActType = layer.ActType, Bias = new List <double>()
};
int layerid = layer.Index;
foreach (Neuron neuron in layer.Neurons)
{
int neuronid = neuron.Index;
newlayerData.Bias.Add(neuron.Bias);
foreach (Connection conn in neuron.Connections.Where(r => r.fromNeuron == neuron))
{
conns.Add(new ConnectionData()
{
From = new NeuronData()
{
Layer = layerid, Node = neuronid
},
To = new NeuronData()
{
Layer = conn.toNeuron.SelfLayer.Index, Node = conn.toNeuron.Index
},
Weight = conn.Weight
});
}
}
lays.Add(newlayerData);
}
return(new NetworkData()
{
Connections = conns, InputLayerId = InputIndex, OutputLayerId = OutputIndex, Layers = lays
});
}
public NetworkData GetNetworkData()
{
List<ConnectionData> conns = new List<ConnectionData>();
List<LayerData> lays = new List<LayerData>();
foreach (Layer layer in Layers)
{
LayerData newlayerData = new LayerData() { NumNeuron = layer.NumNeurons, ActType = layer.ActType, Bias = new List<double>() };
int layerid = layer.Index;
foreach (Neuron neuron in layer.Neurons)
{
int neuronid = neuron.Index;
newlayerData.Bias.Add(neuron.Bias);
foreach (Connection conn in neuron.Connections.Where(r => r.fromNeuron == neuron))
{
conns.Add(new ConnectionData()
{
From = new NeuronData() { Layer = layerid, Node = neuronid },
To = new NeuronData() { Layer = conn.toNeuron.SelfLayer.Index, Node = conn.toNeuron.Index },
Weight = conn.Weight
});
}
}
lays.Add(newlayerData);
}
return new NetworkData() { Connections = conns, InputLayerId = InputIndex, OutputLayerId = OutputIndex, Layers = lays };
}
