void Update()
{
PerceptronInterface PI = gameObject.GetComponent <PerceptronInterface>(); // check if this GO have perceptron interface
if (Learn && PCT != null && Answer != null)
{
if (Task == null)
{
PLBBP.Learn(PCT, Answer[0]); // perceptron's learn
}
else
{
PLBBP.Learn(PCT, Task, Answer); // perceptron's learn
}
Learn = !PLBBP.Learned;
if (PI != null && PI.PV != null)
{
PI.PV.DisplayPerceptronModel(null); // display perceptron model
}
}
if (PI != null)
{
if (PI.Reload)
{
PLBBP.LearnIteration = 0;
PLBBP.ModificateStartWeights(PCT, ModificateStartWeights);
if (PI != null && PI.PV != null)
{
PI.PV.DisplayPerceptronModel(null); // display perceptron model
}
}
}
}
void Update()
{
if (PCT != null && Learn)
{
PLBRG.Learn(PCT);
}
PerceptronInterface PI = gameObject.GetComponent <PerceptronInterface>();
if (PI != null)
{
if (PI.Reload)
{
PLBRG.Reset();
}
}
}
private PerceptronInterface PI; //Perceptron interface
void Start()
{
//Find cow control
ENC = gameObject.GetComponent <EnemyController>();
//Hiden layers and neurons
int[] Layers = new int[2];
Layers[0] = 9;
Layers[1] = 9;
//Create perceptron
EnemyPCT.CreatePerceptron(1, false, true, 5, Layers, 2);
//Add perceptron interface to game object & add perceptron to interface
PI = gameObject.AddComponent <PerceptronInterface>();
PI.PCT = EnemyPCT;
}
private PerceptronInterface PI; //Perceptron interface
void Start()
{
//Find cow control
THC = gameObject.GetComponent <TutorialCowControl>();
//Hiden layers and neurons
int[] Layers = new int[2];
Layers[0] = 9;
Layers[1] = 9;
//Create perceptron
PCT.CreatePerceptron(1, false, true, 4, Layers, 3);
//Add perceptron interface to game object & add perceptron to interface
PI = gameObject.AddComponent <PerceptronInterface>();
PI.PCT = PCT;
}
void Window(int ID) // interface window
{
if (WindowRect.height == 80) // small window
{
if (GUI.Button(new Rect(WindowRect.width - 20, 0, 20, 20), "+")) // change window scale
{
WindowRect.width = 400;
WindowRect.height = 230;
WindowRect.x = WindowRect.x - 200;
}
Learn = IGUI.Button(1, 2, "Learn OFF", "Learn ON", Learn); // start learn
}
else // big window
{
if (GUI.Button(new Rect(WindowRect.width - 20, 0, 20, 20), "-")) // change window scale
{
WindowRect.width = 200;
WindowRect.height = 80;
WindowRect.x = WindowRect.x + 200;
}
if (Learn)
{
GUI.enabled = false;
}
bool Temp = false;
ModificateStartWeights = IGUI.Button(1, 2, "Weights from -0.5 to 0.5", "Mod Weights", ModificateStartWeights, ref Temp);
if (Temp)
{
PLBBP.ModificateStartWeights(PCT, ModificateStartWeights);
PerceptronInterface PI = gameObject.GetComponent <PerceptronInterface>();
if (PI != null)
{
if (PI.ShowVisualization)
{
PI.PV.DisplayPerceptronModel(null);
}
}
}
PLBBP.ShuffleSamples = IGUI.Button(1, 3, "Samples one by one", "Shuffle samples", PLBBP.ShuffleSamples);
GUI.enabled = true;
if (Learn && Task == null)
{
GUI.enabled = false;
}
PLBBP.LearningSpeed = (int)IGUI.HorizontalSlider(1, 4, "Learning speed", PLBBP.LearningSpeed, 1, 1800);
GUI.enabled = true;
PLBBP.LearningRate = IGUI.HorizontalSlider(1, 5, "Learning rate", PLBBP.LearningRate, 0, 1);
if (Learn && Task == null)
{
GUI.enabled = false;
}
PLBBP.DesiredMaxError = IGUI.HorizontalSlider(1, 6, "Desired max error", PLBBP.DesiredMaxError, 0, 1);
GUI.enabled = true;
Learn = IGUI.Button(1, 7, "Learn OFF", "Learn ON", Learn); // start learn
IGUI.Info(2, 2, "Iteration", PLBBP.LearnIteration);
if (Task != null)
{
IGUI.Info(2, 3, "Max error", PLBBP.MaxError);
}
}
if (WindowRect.x < 0) //window restriction on the screen
{
WindowRect.x = 0;
}
else if (WindowRect.x + WindowRect.width > Screen.width)
{
WindowRect.x = Screen.width - WindowRect.width;
}
if (WindowRect.y < 0)
{
WindowRect.y = 0;
}
else if (WindowRect.y + WindowRect.height > Screen.height)
{
WindowRect.y = Screen.height - WindowRect.height;
}
GUI.DragWindow(new Rect(0, 0, WindowRect.width, 20));
}
