private void SelectWorldInWorldList(MyWorld world)
{
if (Properties.Settings.Default.ToolBarNodes == null)
{
Properties.Settings.Default.ToolBarNodes = new System.Collections.Specialized.StringCollection();
}
// if the world is not present in the combo box, add it first
if (!Properties.Settings.Default.ToolBarNodes.Contains(world.GetType().Name))
{
Properties.Settings.Default.ToolBarNodes.Add(world.GetType().Name);
worldList.Items.Add(MyConfiguration.KnownWorlds[Project.World.GetType()]);
}
worldList.SelectedItem = MyConfiguration.KnownWorlds[Project.World.GetType()];
}
private void ConnectWorld()
{
if (Network != null && World != null)
{
if (Network.InputBranches != World.OutputBranches)
{
Network.InputBranches = World.OutputBranches;
Network.InitInputNodes();
}
for (int i = 0; i < World.OutputBranches; i++)
{
Network.GroupInputNodes[i].Name = ShortenMemoryBlockName(World.GetOutput(i).Name);
}
if (Network.OutputBranches != World.InputBranches)
{
Network.OutputBranches = World.InputBranches;
Network.InitOutputNodes();
}
for (int i = 0; i < World.InputBranches; i++)
{
Network.GroupOutputNodes[i].Name = ShortenMemoryBlockName(MyNodeInfo.Get(World.GetType()).InputBlocks[i].Name);
}
for (int i = 0; i < World.OutputBranches; i++)
{
MyConnection worldToNetwork = new MyConnection(World, Network, i, i);
worldToNetwork.Connect();
}
for (int i = 0; i < World.InputBranches; i++)
{
MyConnection networkToWorld = new MyConnection(Network, World, i, i);
networkToWorld.Connect();
}
}
}
public void CreatesAndRunsMNIST()
{
using (var runner = new MyProjectRunner())
{
MyProject project = runner.CreateProject(typeof(MyMNISTWorld));
MyWorld world = project.World;
var neuralGroup = project.CreateNode <MyNeuralNetworkGroup>();
project.Network.AddChild(neuralGroup);
var hiddenLayer = project.CreateNode <MyHiddenLayer>();
neuralGroup.AddChild(hiddenLayer);
var outputLayer = project.CreateNode <MyOutputLayer>();
neuralGroup.AddChild(outputLayer);
var accumulator = project.CreateNode <MyAccumulator>();
neuralGroup.AddChild(accumulator);
// Connect the nodes.
project.Connect(project.Network.GroupInputNodes[0], neuralGroup, 0, 0);
project.Connect(project.Network.GroupInputNodes[1], neuralGroup, 0, 1);
project.Connect(neuralGroup.GroupInputNodes[0], hiddenLayer, 0, 0);
project.Connect(neuralGroup.GroupInputNodes[1], outputLayer, 0, 1);
project.Connect(hiddenLayer, outputLayer, 0, 0);
project.Connect(outputLayer, accumulator, 1, 0);
// Setup the nodes.
MyTask sendMnistData = world.GetTaskByPropertyName("SendTrainingMNISTData");
Assert.NotNull(sendMnistData);
sendMnistData.GetType().GetProperty("RandomEnumerate").SetValue(sendMnistData, true);
sendMnistData.GetType().GetProperty("ExpositionTime").SetValue(sendMnistData, 1);
world.GetType().GetProperty("Binary").SetValue(world, true);
hiddenLayer.Neurons = 40;
accumulator.ApproachValue.ApproachMethod = MyAccumulator.MyApproachValueTask.SequenceType.Momentum;
accumulator.ApproachValue.Delta = 0.1f;
accumulator.ApproachValue.Target = 0;
accumulator.ApproachValue.Factor = 0.9f;
// Enable tasks.
project.World.EnableDefaultTasks();
neuralGroup.EnableDefaultTasks();
neuralGroup.RMS.Enabled = true;
hiddenLayer.EnableDefaultTasks();
outputLayer.EnableDefaultTasks();
accumulator.EnableDefaultTasks();
accumulator.ApproachValue.Enabled = true;
// Run the simulation.
runner.RunAndPause(100);
float error = runner.GetValues(accumulator.Id)[0];
Assert.True(error < 0.5f);
//runner.SaveProject(@"c:\foobar.brain");
}
}