void CreateOutputArray(int numOutputs)
{
Outputs = new List<Connection>();
var outputList = Outputs as List<Connection>;
for (int i=0; i<numOutputs; i++)
{
Connection newOutput = new Connection(1);
outputList.Add(newOutput);
}
}
void CreateInputArray(int numInputs)
{
Inputs = new List<Connection>();
var inputList = Inputs as List<Connection>;
for (int i=0; i<numInputs; i++)
{
Connection newInput = new Connection(1);
inputList.Add(newInput);
}
}
public void SetUp()
{
_testInput1 = new Connection (1, 0.1);
_testInput2 = new Connection (2, 0.2);
_testInputs = new List<Connection> { _testInput1, _testInput2 };
_testOutput = new Connection (0, 1.0);
_testOutputs = new List<Connection> { _testOutput };
_sigmoidAlpha = TunableParameterService.Instance.SigmoidAlpha;
_testNeuron = new MlpNeuron (_testInputs, _testOutputs, FunctionType.Sigmoid);
}
void AddConnections()
{
for (int i=0; i<Layers.Count-1; i++)
{
var layer = Layers[i];
var nextLayer = Layers[i + 1];
foreach (var fromNeuron in layer)
{
foreach (var toNeuron in nextLayer)
{
var connection = new Connection();
fromNeuron.Outputs.Add(connection);
if (! (toNeuron is BiasNode))
{
toNeuron.Inputs.Add(connection);
}
}
}
}
}
