public ReconhecimentoZonaRN()
{
redeNeural = RecuperarRede();
if (redeNeural == null)
{
redeNeural = Treinar(4, 0.25, 10000);
}
}
//Initialize agent's parameters
public override void agent_init(char type, bool policy, string agentName, int inputCount)
{
//Initialize neural net
LinearLayer inputLayer = new LinearLayer(inputCount + 1);
SigmoidLayer hiddenLayer = new SigmoidLayer(150);
LinearLayer outputLayer = new LinearLayer(1);
new BackpropagationConnector(inputLayer, hiddenLayer).Initializer = new RandomFunction(-0.5, 0.5);
new BackpropagationConnector(hiddenLayer, outputLayer).Initializer = new RandomFunction(-0.5, 0.5);
this.network = new BackpropagationNetwork(inputLayer, outputLayer);
this.network.SetLearningRate(0.2);
this.network.Initialize();
#region Initialize_parameters
this.name = agentName;
this.id = Int32.Parse(agentName.Last().ToString());
this.agentType = type;
this.policyFrozen = policy;
if (policy)
{
this.epsilon = 0;
this.alpha = 0;
}
else
{
this.epsilon = 0.5;
this.alpha = 0.2;
}
this.gamma = 0.95;
this.lamda = 0.8;
currentEpoch = 1;
initParams();
#endregion Initialize_parameters
}
//Set agent's neural network
public override void setNeural(Network net)
{
this.network = net;
}
//Set agent's neural network
public override void setNeural(Network net)
{
this.network = net;
}
//Initialize agent's parameters
public override void agent_init(char type, bool policy, string agentName, int inputCount)
{
//Initialize neural net
LinearLayer inputLayer = new LinearLayer(inputCount + 1);
SigmoidLayer hiddenLayer = new SigmoidLayer(150);
LinearLayer outputLayer = new LinearLayer(1);
new BackpropagationConnector(inputLayer, hiddenLayer).Initializer = new RandomFunction(-0.5, 0.5);
new BackpropagationConnector(hiddenLayer, outputLayer).Initializer = new RandomFunction(-0.5, 0.5);
this.network = new BackpropagationNetwork(inputLayer, outputLayer);
this.network.SetLearningRate(0.2);
this.network.Initialize();
#region Initialize_parameters
this.name = agentName;
this.id = Int32.Parse(agentName.Last().ToString());
this.agentType = type;
this.policyFrozen = policy;
if (policy)
{
this.epsilon = 0;
this.alpha = 0;
}
else
{
this.epsilon = 0.5;
this.alpha = 0.2;
}
this.gamma = 0.95;
this.lamda = 0.8;
currentEpoch = 1;
initParams();
#endregion Initialize_parameters
}
