private void Copy(MultilayerPerceptron other)
{
foreach (var l in other._hidden)
{
AddLayer(l.Count);
}
if (_hidden.Count == 0)
{
for (int i = 0; i < _output.Count; i++)
{
_output[i].AddParents(_input, other._output[i]);
}
}
else
{
for (int i = 0; i < _hidden[0].Count; i++)
{
_hidden[0][i].AddParents(_input, other._hidden[0][i]);
}
for (int i = 1; i < _hidden.Count; i++)
{
for (int j = 0; j < _hidden[i].Count; j++)
{
_hidden[i][j].AddParents(_hidden[i - 1], other._hidden[i][j]);
}
}
for (int i = 0; i < _output.Count; i++)
{
_output[i].AddParents(_hidden[_hidden.Count - 1], other._output[i]);
}
}
}
public override NeuralNetwork Copy()
{
var result = new MultilayerPerceptron(_input.Count, _output.Count, _func);
result.Copy(this);
return(result);
}
