static void SerializeDriveComponent()
{
World.LoggingLevel = TraceLevel.Warning;
Agent John = World.NewAgent("John");
BPNetwork net;
FoodDrive foodDr = AgentInitializer.InitializeDrive(John, FoodDrive.Factory, .5);;
if (load && File.Exists(componentLoadFile))
{
Console.WriteLine("Deserializing the drive component");
SerializationPlugin.DeserializeDriveComponent(foodDr, componentLoadFile, out net);
}
else
{
Console.WriteLine("Initializing the drive component");
net = AgentInitializer.InitializeDriveComponent(foodDr, BPNetwork.Factory);
net.Input.AddRange(Drive.GenerateTypicalInputs(foodDr));
net.Parameters.LEARNING_RATE = .2;
net.Parameters.MOMENTUM = .05;
foodDr.Commit(net);
}
John.Commit(foodDr);
DoTraining(net, foodDr);
Console.WriteLine("Serializing the drive component");
SerializationPlugin.Serialize(net, componentLoadFile);
John.Die();
}
static void DoTraining(BPNetwork target, FoodDrive foodDr)
{
DriveEquation trainer = ImplicitComponentInitializer.InitializeTrainer(DriveEquation.Factory, foodDr);
trainer.Commit();
List <ActivationCollection> data = new List <ActivationCollection>();
data.Add(ImplicitComponentInitializer.NewDataSet());
foreach (var i in foodDr.Input)
{
ImplicitComponentInitializer.AddRange(i.WORLD_OBJECT, 0, 1, .25);
data[0].Add(i);
}
Console.WriteLine("Performing Pre-Training (see the trace log for results)");
ImplicitComponentInitializer.Train(target, trainer, data, ImplicitComponentInitializer.TrainingTerminationConditions.BOTH, numTrials);
}