public ArtificialNeuralNetwork(int inputNumberOfNeurons, int hideNumberOfNeurons, int outputNumberOfNeurons)
{
m_input = new ANN_Layer(inputNumberOfNeurons, "Input");
m_hide = new ANN_Layer(hideNumberOfNeurons, "Hide");
m_output = new ANN_Layer(outputNumberOfNeurons, "Output");
m_input.AddRelations(null, m_hide);
m_hide.AddRelations(m_input, m_output);
m_output.AddRelations(m_hide, null);
m_input.RamdomWeight();
m_hide.RamdomWeight();
}
public void AddRelations(ANN_Layer parent, ANN_Layer child)
{
if (parent != null)
{
m_parentLayer = parent;
m_numberOfParentNeurons = parent.m_numberOfNeurons;
}
if (child != null)
{
m_childLayer = child;
m_numberOfChildNeurons = child.m_numberOfNeurons;
m_weight = new float[m_numberOfNeurons, m_numberOfChildNeurons];
m_weightsIncrease = new float[m_numberOfNeurons, m_numberOfChildNeurons];
m_biasWeight = new float[m_numberOfChildNeurons];
m_biasValues = new float[m_numberOfChildNeurons];
}
}