public NeuralNetwork(int inputNum, int outputNum, int hiddenNum, int layerNum)
{
rand = new Random();
connections = new List<Connection>();
hiddenLayers = new Node[layerNum][];
outputNodes = new Node[outputNum];
inputNodes = new Node[inputNum];
for (int i = 0; i < inputNum; i++)
{
inputNodes[i] = new Node(RandStart());
}
for (int i = 0; i < outputNum; i++)
{
outputNodes[i] = new Node(RandStart());
}
for (int i = 0; i < layerNum; i++)
{
hiddenLayers[i] = new Node[hiddenNum];
for (int j = 0; j < hiddenNum; j++)
{
Node curNode = new Node(RandStart());
hiddenLayers[i][j] = curNode;
//hook up connection
if (i == 0) //input layer to first hiddden layer
{
for (int k = 0; k < inputNum; k++)
{
connections.Add(new Connection(RandStart(), inputNodes[k], curNode));
}
}
else //hidden layer to hidden layer
{
for (int k = 0; k < hiddenNum; k++)
{
connections.Add(new Connection(RandStart(), hiddenLayers[i - 1][k], curNode));
}
}
//last hidden layer to output layer
if (i == layerNum - 1)
{
for (int k = 0; k < outputNum; k++)
{
connections.Add(new Connection(RandStart(), curNode, outputNodes[k]));
}
}
}
}
}
private void NodeToBuilder(Node node, StringBuilder strB)
{
strB.AppendFormat("{0}: bias={1}\n",node.GetHashCode(), node.Bias);
foreach (Connection conn in node.OutCon)
{
strB.AppendFormat("\t-> {0} = {1}\n", conn.To.GetHashCode(), conn.Weight);
}
}
