/// <summary> Calculates and returns the highest number of <see cref="Neurons.Neuron"/>s in the given <paramref name="neuralNetwork"/>'s <see cref="neuronLayers"/>. </summary>
/// <param name="neuralNetwork"> The <see cref="NeuralNetwork"/> whose <see cref="NeuronLayer"/>s to calculate from. </param>
/// <returns> The highest number of <see cref="Neurons.Neuron"/>s in the given <paramref name="neuralNetwork"/>'s <see cref="neuronLayers"/>. </returns>
private static int calculateHighestNeuronCount(IReadOnlyNeuralNetwork neuralNetwork)
{
int highestNeuronCount = 0;
for (int l = 0; l < neuralNetwork.NeuronLayerCount; l++)
{
if (neuralNetwork.GetNeuronLayer(l).Count > highestNeuronCount)
{
highestNeuronCount = neuralNetwork.GetNeuronLayer(l).Count;
}
}
return(highestNeuronCount);
}
/// <summary> Creates a new <see cref="NetworkChange"/> for the given <paramref name="neuralNetwork"/>. </summary>
/// <param name="neuralNetwork"> The <see cref="IReadOnlyNeuralNetwork"/> whose changes are being stored. </param>
public NetworkChange(IReadOnlyNeuralNetwork neuralNetwork)
{
// Set the neural network.
NeuralNetwork = neuralNetwork;
// Initialise the neuron and weight changes.
neuronLayerChanges = new NeuronLayerChange[neuralNetwork.NeuronLayerCount - 1];
weightLayerChanges = new WeightLayerChange[neuralNetwork.WeightLayerCount];
for (int i = 0; i < neuronLayerChanges.Length; i++)
{
neuronLayerChanges[i] = new NeuronLayerChange(neuralNetwork.GetNeuronLayer(i + 1));
}
for (int i = 0; i < weightLayerChanges.Length; i++)
{
weightLayerChanges[i] = new WeightLayerChange(neuralNetwork.GetWeightLayer(i));
}
}