public void SetInputConnections(NeuronInputConnection[] _inputs)
{
inputs = new NeuronInputConnection[_inputs.Length];
for (int i = 0; i < _inputs.Length; i++)
{
inputs[i] = new NeuronInputConnection(_inputs[i].weigth, _inputs[i].inputValue, _inputs[i].indexOfInputNeuron);
}
}
public void SetInputConnections(NeuronInputConnection[] _inputs)
{
inputs = new NeuronInputConnection[_inputs.Length];
for (int i = 0; i < _inputs.Length; i++)
{
inputs[i] = new NeuronInputConnection(_inputs[i].weigth, _inputs[i].inputValue, _inputs[i].indexOfInputNeuron);
}
}
public InputNeuron(ActivateFunction af, double inputValue, NeuronInputConnection[] _inputs)
{
act_func = af;
InputValue = inputValue;
SetInputConnections(_inputs);
}
private void setInputConnections()
{
for (int indexNeuron = 0; indexNeuron < NeuronsCount; indexNeuron++)
{
int count = 0;
for (int i = 0; i < NeuronsCount; i++)
{
if (topology[i, indexNeuron] == true)
{
count++;
}
}
NeuronInputConnection[] res = new NeuronInputConnection[count];
count = 0;
for (int i = 0; i < NeuronsCount; i++)
{
if (topology[i, indexNeuron] == true)
{
res[count] = new NeuronInputConnection(weights[i, indexNeuron], i);
count++;
}
}
neurons[indexNeuron].SetInputConnections(res);
}
}
public OutputNeuron(ActivateFunction af, NeuronInputConnection[] _inputs)
{
act_func = af;
SetInputConnections(_inputs);
}
