public void SetConnections(Neuron outp)
{
end = outp;
}
void Setup()
{
Connection input1_hidden1 = new Connection();
Connection input1_hidden2 = new Connection();
Connection input1_hidden3 = new Connection();
Connection input1_hidden4 = new Connection();
Connection input1_hidden5 = new Connection();
Connection hidden1_output1 = new Connection();
Connection hidden2_output1 = new Connection();
Connection hidden3_output1 = new Connection();
Connection hidden4_output1 = new Connection();
Connection hidden5_output1 = new Connection();
Connection bias1_input1 = new Connection();
Neuron input1 = new Neuron();
Neuron bias1 = new Neuron();
Neuron hidden1 = new Neuron();
Neuron hidden2 = new Neuron();
Neuron hidden3 = new Neuron();
Neuron hidden4 = new Neuron();
Neuron hidden5 = new Neuron();
Neuron output1 = new Neuron();
input1_hidden1.SetConnections(input1, hidden1);
input1_hidden2.SetConnections(input1, hidden2);
input1_hidden3.SetConnections(input1, hidden3);
input1_hidden4.SetConnections(input1, hidden4);
input1_hidden5.SetConnections(input1, hidden5);
hidden1_output1.SetConnections(hidden1, output1);
hidden2_output1.SetConnections(hidden2, output1);
hidden3_output1.SetConnections(hidden3, output1);
hidden4_output1.SetConnections(hidden4, output1);
hidden5_output1.SetConnections(hidden5, output1);
bias1_input1.SetConnections(bias1, input1);
bias1.SetPlace(NeuronPlace.bias);
bias1.AddOutputConnection(bias1_input1);
input1.SetPlace(NeuronPlace.input);
input1.AddOutputConnection(input1_hidden1);
input1.AddOutputConnection(input1_hidden2);
input1.AddOutputConnection(input1_hidden3);
input1.AddOutputConnection(input1_hidden4);
input1.AddOutputConnection(input1_hidden5);
hidden1.SetPlace(NeuronPlace.hidden);
hidden1.AddInputConnection(input1_hidden1);
hidden1.AddOutputConnection(hidden1_output1);
hidden2.SetPlace(NeuronPlace.hidden);
hidden2.AddInputConnection(input1_hidden2);
hidden2.AddOutputConnection(hidden2_output1);
hidden3.SetPlace(NeuronPlace.hidden);
hidden3.AddInputConnection(input1_hidden3);
hidden3.AddOutputConnection(hidden3_output1);
hidden4.SetPlace(NeuronPlace.hidden);
hidden4.AddInputConnection(input1_hidden4);
hidden4.AddOutputConnection(hidden4_output1);
hidden5.SetPlace(NeuronPlace.hidden);
hidden5.AddInputConnection(input1_hidden5);
hidden5.AddOutputConnection(hidden5_output1);
output1.SetPlace(NeuronPlace.output);
output1.AddInputConnection(hidden1_output1);
output1.AddInputConnection(hidden2_output1);
output1.AddInputConnection(hidden3_output1);
output1.AddInputConnection(hidden4_output1);
output1.AddInputConnection(hidden5_output1);
connections.Add(input1_hidden1);
connections.Add(input1_hidden2);
connections.Add(input1_hidden3);
connections.Add(input1_hidden4);
connections.Add(input1_hidden5);
connections.Add(bias1_input1);
connections.Add(hidden1_output1);
connections.Add(hidden2_output1);
connections.Add(hidden3_output1);
connections.Add(hidden4_output1);
connections.Add(hidden5_output1);
neurons.Add(input1);
neurons.Add(bias1);
neurons.Add(hidden1);
neurons.Add(hidden2);
neurons.Add(hidden3);
neurons.Add(hidden4);
neurons.Add(hidden5);
neurons.Add(output1);
}
public void SetConnections(Neuron inp, Neuron outp)
{
start = inp;
end = outp;
}