// Use this for initialization
void Start()
{
//create actual curve visualization
CurvePoints = new GameObject[numPoints];
for (int i = 0; i < CurvePoints.Length; i++)
{
CurvePoints[i] = Instantiate(curvePrefab);
}
updateCurvePoints();
testInputSets = new double[numTestPoints, 1];
testOutputSets = new double[numTestPoints, 1];
for (int i = 0; i < numTestPoints; i++)
{
testInputSets[i, 0] = testMin + i * (testMax - testMin) / numTestPoints;
testOutputSets[i, 0] = CurveToFitGA.Function(testInputSets[i, 0]);
}
net = new NeuralNet(1, 1, numHiddenLayers, hiddenLayerSize, testInputSets, testOutputSets);//create net with test sets filled
//create visualization of the net points
NetPoints = new GameObject[numPoints];
for (int i = 0; i < NetPoints.Length; i++)
{
NetPoints[i] = Instantiate(netPrefab);
}
updateNetPoints(net);
VNet.net = net;
VNet.Initialize();
ga = new GeneticAlgorithm(net, populationSize, numParents, environmentalPressure, eliteFraction, numCrossoverPoints, mutationChance, tournamentSize);
}
void updateCurvePoints()
{
for (int i = 0; i < CurvePoints.Length; i++)
{
double x = min + i * ((max - min) / numPoints);
double y = CurveToFitGA.Function(x);
CurvePoints[i].GetComponent <Transform>().position = new Vector3((float)(coordinateScale * x), (float)(coordinateScale * (float)y), 0);
}
}
