public NeuroTransmitter MarxPerceptron(NeuroTransmitter[] _input, double[] _weights, Layout _currentLayout)
{
NeuroTransmitter _b = new NeuroTransmitter();
_b._bioGUID = Guid.NewGuid();
_b._inputHistory = new List <List <double> >();
_b._weightsHistory = new List <List <double> >();
_b._layoutHistory = new List <Layout>();
List <double> _currentInput = new List <double>();
List <double> _currentWeights = new List <double>();
for (int i = 0; i < _input.Length; i++)
{
_b._Activation += _input[i]._Activation * _weights[i];
_currentInput.Add(_input[i]._Activation);
_currentWeights.Add(_weights[i]);
}
_b._inputHistory.Add(_currentInput);
_b._weightsHistory.Add(_currentWeights);
_b._layoutHistory.Add(_currentLayout);
return(_b);
}
public NeuroTransmitter MarxPerceptronCreateNeuroTransmitter(double _input)
{
NeuroTransmitter _b = new NeuroTransmitter();
_b._bioGUID = Guid.NewGuid();
_b._Activation = _input;
_b._inputHistory = new List <List <double> >();
List <double> _currentInput = new List <double>();
_currentInput.Add(_input);
_b._inputHistory.Add(_currentInput);
_b._weightsHistory = new List <List <double> >();
List <double> _currentWeights = new List <double>();
_currentWeights.Add(0);
_b._weightsHistory.Add(_currentWeights);
_b._layoutHistory = new List <Layout>();
Layout _currentLayout = new Layout();
_currentLayout._network = 0;
_currentLayout._layer = 0;
return(_b);
}
