public ResultOfTraining GetResultOfTraining(ref float[][] dataSet)
{
var xResult =
GetWeight(ref dataSet, RungeKuttaService.ValuesEnum.X);
var yResult =
GetWeight(ref dataSet, RungeKuttaService.ValuesEnum.Y);
var zResult =
GetWeight(ref dataSet, RungeKuttaService.ValuesEnum.Z);
var resultGroup =
new ResultOfTraining
{
XResult = xResult,
YResult = yResult,
ZResult = zResult
};
return(resultGroup);
}
private void learnButton_Click(object sender, EventArgs e)
{
int sampleCount = _pointsDataAccess.GetDataSetSize();
float[][] dataSet = new float[sampleCount][];
Array.Copy(Points.ToArray(), dataSet, sampleCount);
ResultOfTraining resultOfTraining = _singlePerceptronService.GetResultOfTraining(ref dataSet);
PointsAfterTraining.Add(new [] { dataSet[0][0], dataSet[0][1], dataSet[0][2] });
for (int i = 0; i < 1500; i++)
{
float generatedValueForX = PointsAfterTraining[i][0] * resultOfTraining.XResult.Weight1 +
PointsAfterTraining[i][1] * resultOfTraining.XResult.Weight2 +
PointsAfterTraining[i][2] * resultOfTraining.XResult.Weight3 -
resultOfTraining.XResult.Threshold;
float generatedValueForY = PointsAfterTraining[i][0] * resultOfTraining.YResult.Weight1 +
PointsAfterTraining[i][1] * resultOfTraining.YResult.Weight2 +
PointsAfterTraining[i][2] * resultOfTraining.YResult.Weight3 -
resultOfTraining.YResult.Threshold;
float generatedValueForZ = PointsAfterTraining[i][0] * resultOfTraining.ZResult.Weight1 +
PointsAfterTraining[i][1] * resultOfTraining.ZResult.Weight2 +
PointsAfterTraining[i][2] * resultOfTraining.ZResult.Weight3 -
resultOfTraining.ZResult.Threshold;
PointsAfterTraining.Add(new[]
{
generatedValueForX,
generatedValueForY,
generatedValueForZ
});
}
AddOutputValuesToListBoxes();
trainingPointsOneDimensionForX = _rungeKuttaService.GenerateOneDimension(PointsAfterTraining.ToArray(), RungeKuttaService.ValuesEnum.X);
trainingPointsOneDimensionForY = _rungeKuttaService.GenerateOneDimension(PointsAfterTraining.ToArray(), RungeKuttaService.ValuesEnum.Y);
trainingPointsOneDimensionForZ = _rungeKuttaService.GenerateOneDimension(PointsAfterTraining.ToArray(), RungeKuttaService.ValuesEnum.Z);
}
