public UnsureNetworkForm()
{
InitializeComponent();
NodeSavingReading reader = new NodeSavingReading();
net = new NeuralNet(7, 7, ANNfilename, KFoldFilename);
inputTrainingData = reader.GetStoredDataFromFile(Globals.inputDataStorage);
outputTrainingData = reader.GetStoredDataFromFile(Globals.outputDataStorage);
//inputTrainingData = new List<double[]>();
//outputTrainingData = new List<double[]>();
controls = new PatsControlScheme();
controls.Initialize();
controls.timeNeededForChange = 7000;
serial = new SerialReader();
serial.Read();
UnityCommunicationHub.InitializeUnityCommunication();
UnityCommunicationHub.TwoWayTransmission();
indexList = Globals.GetBasicValues();
reverseIndexList = Globals.GetBasicValuesReversed();
setPointList = Globals.GetBasicPositions();
foreach (KeyValuePair <string, int> position in indexList)
{
DefaultPositionsBox.Items.Add(position.Key);
}
}
public NeuralNetForm()
{
InitializeComponent();
NodeSavingReading reader = new NodeSavingReading();
net = new NeuralNet(8, 7, ANNfilename, KFoldFilename);
inputTrainingData = reader.GetStoredDataFromFile(Globals.inputDataStorage);
outputTrainingData = reader.GetStoredDataFromFile(Globals.outputDataStorage);
//inputTrainingData = new List<double[]>();
//outputTrainingData = new List<double[]>();
serial = new SerialReader();
serial.Read();
UnityCommunicationHub.InitializeUnityCommunication();
UnityCommunicationHub.TwoWayTransmission();
indexList = Globals.GetBasicValues();
setPointList = Globals.GetBasicPositions();
foreach (KeyValuePair <string, int> position in indexList)
{
DefaultPositionsBox.Items.Add(position.Key);
}
}
public ContinuousNeuralNetForm()
{
InitializeComponent();
net = new NeuralNet(8, 7, ANNfilename, KFoldFilename);
inputTrainingData = new List <double[]>();
outputTrainingData = new List <double[]>();
if (inputTrainingData.Count > expirationTimer)
{
inputTrainingData.RemoveAt(0);
outputTrainingData.RemoveAt(0);
}
serial = new SerialReader();
serial.Read();
UnityCommunicationHub.InitializeUnityCommunication();
UnityCommunicationHub.TwoWayTransmission();
Random rand = new Random(23);
setPointList = Globals.GetBasicPositions();
var firstPoint = setPointList[3];
Globals.A1DesiredPosition = firstPoint.A1Position;
Globals.A2DesiredPosition = firstPoint.A2Position;
Globals.A3DesiredPosition = firstPoint.A3Position;
Globals.B1DesiredPosition = firstPoint.B1Position;
Globals.B2DesiredPosition = firstPoint.B2Position;
Globals.B3DesiredPosition = firstPoint.B3Position;
Globals.C1DesiredPosition = firstPoint.C1Position;
Globals.C2DesiredPosition = firstPoint.C2Position;
Globals.C3DesiredPosition = firstPoint.C3Position;
Globals.D1DesiredPosition = firstPoint.D1Position;
Globals.D2DesiredPosition = firstPoint.D2Position;
Globals.D3DesiredPosition = firstPoint.D3Position;
Globals.T1DesiredPosition = firstPoint.T1Position;
Globals.T2DesiredPosition = firstPoint.T2Position;
//Globals.T1DesiredPosition = (float)rand.Next(0, 90);
//Globals.T2DesiredPosition = (float)rand.Next(0, 90);
//Globals.A1DesiredPosition = (float)rand.Next(0, 90);
//Globals.A2DesiredPosition = (float)rand.Next(0, 90);
//Globals.A3DesiredPosition = (float)rand.Next(0, 90);
//Globals.B1DesiredPosition = (float)rand.Next(0, 90);
//Globals.B2DesiredPosition = (float)rand.Next(0, 90);
//Globals.B3DesiredPosition = (float)rand.Next(0, 90);
//Globals.C1DesiredPosition = (float)rand.Next(0, 90);
//Globals.C2DesiredPosition = (float)rand.Next(0, 90);
//Globals.C3DesiredPosition = (float)rand.Next(0, 90);
//Globals.D1DesiredPosition = (float)rand.Next(0, 90);
//Globals.D2DesiredPosition = (float)rand.Next(0, 90);
//Globals.D3DesiredPosition = (float)rand.Next(0, 90);
lastSetPoint = firstPoint;
UnityCommunicationHub.WriteData(true);
}
private void button3_Click(object sender, EventArgs e)
{
UnityCommunicationHub.InitializeUnityCommunication();
}
public NeuralTreeWindow()
{
this.Size = new System.Drawing.Size(1710, 1301);
this.FormClosing += Globals.CloseAllForms;
InitializeComponent();
updateFingerDisplay();
UnityCommunicationHub.InitializeUnityCommunication();
//initialize tree structure
controls = new PatsControlScheme();
controls.Initialize();
loadPositions(controls.root);
List <Node> newList = controls.allNodes.Values.ToList <Node>();
//order the list from lowest to highest to ensure all nodes are populated in order
newList.OrderBy(o => o.id);
//make sure the list of nodes is clear
NeuronTreeView.Nodes.Clear();
//sequentially add all the nodes to the tree
foreach (Node n in newList)
{
if (n.id != Globals.CONTROLNODE)
{
//figure out what the parent id is
int parentID = n.parent;
//if it's the root node, just add it to the tree
if (parentID == Globals.NULLPARENT)
{
TreeNode newNode = new TreeNode(n.name);
newNode.Tag = n.id;
NeuronTreeView.Nodes.Add(newNode);
activeNode = newNode;
}
//in the case that it's a child node, figure out what display node to add it to
else
{
//iterate through until you find the parent
TreeNode parentNode = findNodeInTree(parentID);
//once we find the parent, add it to the parent's children
TreeNode newNode = new TreeNode(n.name);
newNode.Tag = n.id;
parentNode.Nodes.Add(newNode);
}
}
}
foreach (Node n in newList)
{
if (n.id != Globals.CONTROLNODE && n.children.Contains(Globals.CONTROLNODE))
{
TreeNode tn = findNodeInTree(n.id);
bool done = false;
foreach (TreeNode tnn in tn.Nodes)
{
if (!done && (int)tnn.Tag == Globals.CONTROLNODE)
{
tnn.Remove();
done = true;
}
}
TreeNode newControlNode = new TreeNode("Controls");
newControlNode.Tag = Globals.CONTROLNODE;
tn.Nodes.Add(newControlNode);
}
}
}
