/// <summary>
/// Calculate the error for this neural network. The error is calculated
/// using root-mean-square(RMS).
/// </summary>
/// <param name="input">Input patterns.</param>
/// <param name="ideal">Ideal patterns.</param>
/// <returns>The error percentage.</returns>
public double CalculateError(double[][] input, double[][] ideal)
{
ErrorCalculation errorCalculation = new ErrorCalculation();
for (int i = 0; i < ideal.Length; i++)
{
ComputeOutputs(input[i]);
errorCalculation.UpdateError(this.outputLayer.Fire,
ideal[i]);
}
return (errorCalculation.CalculateRMS());
}
//pass data to other from here.
public void display()
{
double[] present = new double[INPUT_SIZE * 4];
double[] predict = new double[OUTPUT_SIZE * 3];
double[] actualOutput = new double[OUTPUT_SIZE * 3];
int index = 0;
foreach (WeatherSamples sample in this.actual.getSamples())
{
if (sample.getDate().CompareTo(this.PREDICT_FROM) > 0)
{
StringBuilder str = new StringBuilder();
str.Append(ReadCSV.DisplayDate(sample.getDate()));
str.Append(":Start=");
//str.Append(sample.airPollutionLevel);
//str.Append(sample.minTemp);
//str.Append(sample.maxTemp);
//str.Append(sample.rainfall);
this.actual.getInputData(index - INPUT_SIZE, present);
//DateTime date= ReadCSV.ParseDate("2010-04-19");
//this.actual.getInputDataToPredict(date,present);
this.actual.getOutputData(index - INPUT_SIZE, actualOutput);
predict = this.network.ComputeOutputs(present);
str.Append(",Actual minTemp =");
str.Append(actualOutput[0].ToString("N2"));
str.Append(",Actual maxTemp =");
str.Append(actualOutput[1].ToString("N2"));
str.Append(",Actual rainfall =");
str.Append(actualOutput[2].ToString("N2"));
str.Append(",Predicted minTemp= ");
str.Append(predict[0].ToString("N2"));
str.Append(",Predicted maxTemp= ");
str.Append(predict[1].ToString("N2"));
str.Append(",Predicted rainfall= ");
str.Append(predict[2].ToString("N2"));
str.Append(":Difference=");
ErrorCalculation error = new ErrorCalculation();
error.UpdateError(predict, actualOutput);
str.Append(error.CalculateRMS().ToString("N2"));
//
Console.WriteLine(str.ToString());
}
index++;
}
}
