public void RecognizeTest()
{
IBackPropagation target = CreateIBackPropagation(); // TODO: Initialize to an appropriate value
double[] Input = null; // TODO: Initialize to an appropriate value
string MatchedHigh = string.Empty; // TODO: Initialize to an appropriate value
string MatchedHighExpected = string.Empty; // TODO: Initialize to an appropriate value
double OutputValueHight = 0F; // TODO: Initialize to an appropriate value
double OutputValueHightExpected = 0F; // TODO: Initialize to an appropriate value
string MatchedLow = string.Empty; // TODO: Initialize to an appropriate value
string MatchedLowExpected = string.Empty; // TODO: Initialize to an appropriate value
double OutputValueLow = 0F; // TODO: Initialize to an appropriate value
double OutputValueLowExpected = 0F; // TODO: Initialize to an appropriate value
target.Recognize(Input, ref MatchedHigh, ref OutputValueHight, ref MatchedLow, ref OutputValueLow);
Assert.AreEqual(MatchedHighExpected, MatchedHigh);
Assert.AreEqual(OutputValueHightExpected, OutputValueHight);
Assert.AreEqual(MatchedLowExpected, MatchedLow);
Assert.AreEqual(OutputValueLowExpected, OutputValueLow);
Assert.Inconclusive("A method that does not return a value cannot be verified.");
}
public void Recognize(double[] Input, ref T MatchedHigh, ref double OutputValueHight,
ref T MatchedLow, ref double OutputValueLow)
{
NeuralNet.Recognize(Input, ref MatchedHigh, ref OutputValueHight, ref MatchedLow, ref OutputValueLow);
}
public void Recognize(double[] input, ref string matchedHigh, ref double outputValueHight,
ref string matchedLow, ref double outputValueLow)
{
_neuralNet.Recognize(input, ref matchedHigh, ref outputValueHight, ref matchedLow, ref outputValueLow);
}
public void Recognize(double[] Input, RecognizeModel recognizeModel)
{
_neuralNet.Recognize(Input, recognizeModel);
}
