private double Activate(Pattern pattern)
{
for (int i = 0; i < pattern.Inputs.Length; i++)
{
_inputs[i].Output = pattern.Inputs[i];
}
foreach (Neuron neuron in _hidden)
{
neuron.Activate();
}
_output.Activate();
return(_output.Output);
}
public void Iterate()
{
Dictionary <uint, float> newState = new Dictionary <uint, float>();
foreach (KeyValuePair <uint, Neuron> node in neurons)
{
float aggregate = 0;
for (int i = 0; i < node.Value.from.Length; i++)
{
aggregate += neurons[node.Value.from[i]].state * node.Value.weight[i];
}
newState.Add(node.Key, Neuron.Activate(aggregate));
}
foreach (KeyValuePair <uint, float> state in newState)
{
neurons[state.Key].state = state.Value;
}
}
public double Propagate()
{
NetworkResources.visitedNeurons.Clear();
return(actuator.Activate());
}
