public void uniformDistributionTest()
{
double[] setOfNumbers = MathematicalFunction.uniformDistribution(10);
double sum = 0.0d;
foreach (double number in setOfNumbers)
{
sum += number;
}
if (sum > 1.0d)
{
Assert.Fail();
}
}
private void createLayers()
{
hiddenLayer = new HiddenNeurone[numberOfHiddenOrContextNeurons];
for (int i = 0; i < numberOfHiddenOrContextNeurons; i++)
{
double[] weights = MathematicalFunction.uniformDistribution(inputLength + numberOfHiddenOrContextNeurons);
hiddenLayer[i] = new HiddenNeurone(weights);
}
contextLayer = new ContextNeurone[numberOfHiddenOrContextNeurons];
for (int i = 0; i < numberOfHiddenOrContextNeurons; i++)
{
contextLayer[i] = new ContextNeurone();
}
outputLayer = new OutputNeurone[numberOfOutputNeurons];
for (int i = 0; i < numberOfOutputNeurons; i++)
{
double[] weights = MathematicalFunction.uniformDistribution(numberOfHiddenOrContextNeurons);
outputLayer[i] = new OutputNeurone(weights);
}
}