/// <summary>
/// Feeds the network forward achieving an output for a given set of inputs.
/// </summary>
/// <param name="input">The set of inputs to be given to the input neurons.</param>
public void FeedForward(double[] inputs)
{
//Make sure input is same length.
if (inputs.Length != Neurons[0].Length)
{
throw new ArgumentException("Input not same count as neural input layer");
}
//Reset neurons
foreach (Neuron[] layer in Neurons)
{
foreach (Neuron n in layer)
{
n.Reset();
}
}
//Set the inputs
for (int i = 0; i < inputs.Length; i++)
{
Neurons[0][i].Net = inputs[i];
}
//Establish the bias
Bias.UpdateOutput(Sigmoid.HyperbolicTangent);
//Feed Forward
for (int layer = 0; layer < Neurons.Length; layer++)
{
//Update the output
foreach (Neuron neuron in Neurons[layer])
{
if (layer == 0)
{
(neuron as InputNeuron).UpdateOutput(this.Activations[layer]);
}
else
{
neuron.UpdateOutput(this.Activations[layer]);
}
}
//Feed the connections forward unless on the last layer.
if (layer != Neurons.Length - 1)
{
foreach (Connection connection in Connections[layer])
{
connection.FeedForward();
}
}
}
}
