public void SetData(SeriesData data, SeriesVariable variable, NeuralNetworkAnalysisForm.NetworkSpecification networkProperties)
{
this.data = data;
this.variable = variable;
this.networkProperties = networkProperties;
this.lblVariable.Text = variable.VariableName;
this.update();
}
public void SetData(SeriesData data, SeriesVariable variable, NeuralNetworkAnalysisForm.NetworkSpecification networkProperties)
{
this.data = data;
this.variable = variable;
this.networkProperties = networkProperties;
this.lblVariable.Text = variable.VariableName;
this.update();
}
public void SetData(SeriesData data, SeriesVariable variable, NeuralNetworkAnalysisForm.NetworkSpecification networkProperties,
double[] predicted, double[] forecasted)
{
this.data = data;
this.variable = variable;
this.predicted = predicted;
this.forecasted = forecasted;
this.networkProperties = networkProperties;
}
/// <summary>
/// Membaca hasil pada Result View
/// </summary>
/// <param name="data">Series Data rujukan</param>
/// <returns>Tab Page yang akan ditampilkan pada Result View</returns>
public List<FATabStripItem> ReadResultPane(SeriesData data)
{
List<FATabStripItem> result = new List<FATabStripItem>();
string tmpString;
seriesDataReader.ReadToFollowing("ResultPane");
seriesDataReader.ReadStartElement();
while (seriesDataReader.IsStartElement("TabPage"))
{
seriesDataReader.ReadStartElement();
tmpString = seriesDataReader.ReadElementContentAsString();
if (tmpString == "Neural Network")
{
ANNResultTabPage annTp = new ANNResultTabPage();
string title = seriesDataReader.ReadElementContentAsString();
tmpString = seriesDataReader.ReadElementContentAsString();
int index = VariableFinder.FindVariableIndex(data.SeriesVariables, tmpString);
NeuralNetworkAnalysisForm.NetworkSpecification tmpNetSpec = new NeuralNetworkAnalysisForm.NetworkSpecification();
seriesDataReader.ReadStartElement();
tmpNetSpec.InputLayerNeurons = seriesDataReader.ReadElementContentAsInt();
tmpNetSpec.HiddenLayerNeurons = seriesDataReader.ReadElementContentAsInt();
tmpNetSpec.OutputLayerNeurons = seriesDataReader.ReadElementContentAsInt();
tmpNetSpec.ActivationFunction = (NeuralNetworkAnalysisForm.ActivationFunctionEnumeration)seriesDataReader.ReadElementContentAsInt();
tmpNetSpec.LearningRate = seriesDataReader.ReadElementContentAsDouble();
tmpNetSpec.Momentum = seriesDataReader.ReadElementContentAsDouble();
tmpNetSpec.IncludedObservations = seriesDataReader.ReadElementContentAsInt();
tmpNetSpec.Error = seriesDataReader.ReadElementContentAsDouble();
tmpNetSpec.MSE = seriesDataReader.ReadElementContentAsDouble();
tmpNetSpec.MAE = seriesDataReader.ReadElementContentAsDouble();
seriesDataReader.ReadEndElement();
List<double> tmpPredicted = new List<double>();
seriesDataReader.ReadStartElement();
while (seriesDataReader.IsStartElement("Value"))
{
tmpPredicted.Add(seriesDataReader.ReadElementContentAsDouble());
}
seriesDataReader.ReadEndElement();
List<double> tmpForecasted = new List<double>();
if (seriesDataReader.IsStartElement("Forecasted"))
{
seriesDataReader.ReadStartElement();
while (seriesDataReader.IsStartElement("Value"))
{
tmpForecasted.Add(seriesDataReader.ReadElementContentAsDouble());
}
seriesDataReader.ReadEndElement();
}
annTp.SetData(data, data.SeriesVariables[index], tmpNetSpec, tmpPredicted.ToArray(), tmpForecasted.ToArray());
seriesDataReader.ReadStartElement();
while (seriesDataReader.IsStartElement("View"))
{
tmpString = seriesDataReader.ReadElementContentAsString();
if (tmpString == "AnnModelSummary") annTp.IsAnnModelSummaryVisible = true;
else if (tmpString == "ActualPredictedResidualDataGrid") annTp.IsActualPredictedResidualDataGridVisible = true;
else if (tmpString == "ForecastedDataGrid") annTp.IsForecastedDataGridVisible = true;
else if (tmpString == "ActualAndPredictedGraph") annTp.IsActualAndPredictedGraphVisible = true;
else if (tmpString == "ActualAndForecastedGraph") annTp.IsActualAndForecastedGraphVisible = true;
else if (tmpString == "ActualVsPredictedGraph") annTp.IsActualVsPredictedGraphVisible = true;
else if (tmpString == "ResidualGraph") annTp.IsResidualGraphVisible = true;
else if (tmpString == "ResidualVsActualGraph") annTp.IsResidualVsActualGraphVisible = true;
else if (tmpString == "ResidualVsPredictedGraph") annTp.IsResidualVsPredictedGraphVisible = true;
}
seriesDataReader.ReadEndElement();
annTp.Title = title;
annTp.DrawControl();
result.Add(annTp);
seriesDataReader.ReadEndElement();
}
else if (tmpString == "Moving Average")
{
MAResultTabPage maTp = new MAResultTabPage();
string title = seriesDataReader.ReadElementContentAsString();
tmpString = seriesDataReader.ReadElementContentAsString();
int index = VariableFinder.FindVariableIndex(data.SeriesVariables, tmpString);
MovingAverageForm.MASpecification tmpMaSpec = new MovingAverageForm.MASpecification();
seriesDataReader.ReadStartElement();
tmpMaSpec.includedObservations = seriesDataReader.ReadElementContentAsInt();
tmpMaSpec.isSingleMA = seriesDataReader.ReadElementContentAsBoolean();
tmpMaSpec.orde = seriesDataReader.ReadElementContentAsInt();
tmpMaSpec.sseMA = seriesDataReader.ReadElementContentAsDouble();
tmpMaSpec.mseMA = seriesDataReader.ReadElementContentAsDouble();
tmpMaSpec.maeMA = seriesDataReader.ReadElementContentAsDouble();
tmpMaSpec.mpeMA = seriesDataReader.ReadElementContentAsDouble();
tmpMaSpec.mapeMA = seriesDataReader.ReadElementContentAsDouble();
seriesDataReader.ReadEndElement();
MovingAverageForm.MAComponent tmpMaComp = new MovingAverageForm.MAComponent();
List<double> tmpSingleMA = new List<double>();
seriesDataReader.ReadStartElement();
while (seriesDataReader.IsStartElement("Value"))
{
tmpSingleMA.Add(seriesDataReader.ReadElementContentAsDouble());
}
seriesDataReader.ReadEndElement();
tmpMaComp.singleSmoothed = tmpSingleMA.ToArray();
List<double> tmpDoubleMA = new List<double>();
if (seriesDataReader.IsStartElement("DoubleMA"))
{
seriesDataReader.ReadStartElement();
while (seriesDataReader.IsStartElement("Value"))
{
tmpDoubleMA.Add(seriesDataReader.ReadElementContentAsDouble());
}
seriesDataReader.ReadEndElement();
tmpMaComp.doubleSmoothed = tmpDoubleMA.ToArray();
}
List<double> tmpPredicted = new List<double>();
seriesDataReader.ReadStartElement();
while (seriesDataReader.IsStartElement("Value"))
{
tmpPredicted.Add(seriesDataReader.ReadElementContentAsDouble());
}
seriesDataReader.ReadEndElement();
tmpMaComp.predicted = tmpPredicted.ToArray();
List<double> tmpResidual = new List<double>();
seriesDataReader.ReadStartElement();
while (seriesDataReader.IsStartElement("Value"))
{
tmpResidual.Add(seriesDataReader.ReadElementContentAsDouble());
}
seriesDataReader.ReadEndElement();
tmpMaComp.residual = tmpResidual.ToArray();
List<double> tmpForecasted = new List<double>();
if (seriesDataReader.IsStartElement("Forecasted"))
{
seriesDataReader.ReadStartElement();
while (seriesDataReader.IsStartElement("Value"))
{
tmpForecasted.Add(seriesDataReader.ReadElementContentAsDouble());
}
seriesDataReader.ReadEndElement();
}
maTp.SetData(data, data.SeriesVariables[index], tmpMaSpec, tmpMaComp, tmpForecasted.ToArray());
seriesDataReader.ReadStartElement();
while (seriesDataReader.IsStartElement("View"))
{
tmpString = seriesDataReader.ReadElementContentAsString();
if (tmpString == "MAModelSummary") maTp.IsMaModelSummaryVisible = true;
else if (tmpString == "MovingAverageDataGrid") maTp.IsMovingAverageDataGridVisible = true;
else if (tmpString == "Smoothing") maTp.IsSmoothingVisible = true;
//else if (tmpString == "ActualPredictedResidualDataGrid") maTp.IsActualPredictedResidualDataGridVisible = true;
else if (tmpString == "ForecastedDataGrid") maTp.IsForecastedDataGridVisible = true;
else if (tmpString == "ActualAndPredictedGraph") maTp.IsActualAndPredictedGraphVisible = true;
else if (tmpString == "ActualAndSmoothedGraph") maTp.IsActualAndSmoothedGraphVisible = true;
else if (tmpString == "ActualAndForecastedGraph") maTp.IsActualAndForecastedGraphVisible = true;
else if (tmpString == "ActualVsPredictedGraph") maTp.IsActualVsPredictedGraphVisible = true;
else if (tmpString == "ResidualGraph") maTp.IsResidualGraphVisible = true;
else if (tmpString == "ResidualVsActualGraph") maTp.IsResidualVsActualGraphVisible = true;
else if (tmpString == "ResidualVsPredictedGraph") maTp.IsResidualVsPredictedGraphVisible = true;
}
seriesDataReader.ReadEndElement();
maTp.Title = title;
maTp.DrawControl();
result.Add(maTp);
seriesDataReader.ReadEndElement();
}
else if (tmpString == "Exponential Smoothing")
{
ESResultTabPage esTp = new ESResultTabPage();
string title = seriesDataReader.ReadElementContentAsString();
tmpString = seriesDataReader.ReadElementContentAsString();
int index = VariableFinder.FindVariableIndex(data.SeriesVariables, tmpString);
ExponentialSmoothingForm.ESSpecification tmpEsSpec = new ExponentialSmoothingForm.ESSpecification();
seriesDataReader.ReadStartElement();
tmpEsSpec.includedObservations = seriesDataReader.ReadElementContentAsInt();
tmpEsSpec.alpha = seriesDataReader.ReadElementContentAsDouble();
tmpEsSpec.gamma = seriesDataReader.ReadElementContentAsDouble();
tmpEsSpec.beta = seriesDataReader.ReadElementContentAsDouble();
tmpEsSpec.seasonalLength = seriesDataReader.ReadElementContentAsInt();
tmpEsSpec.sseES = seriesDataReader.ReadElementContentAsDouble();
tmpEsSpec.mseES = seriesDataReader.ReadElementContentAsDouble();
tmpEsSpec.maeES = seriesDataReader.ReadElementContentAsDouble();
tmpEsSpec.mpeES = seriesDataReader.ReadElementContentAsDouble();
tmpEsSpec.mapeES = seriesDataReader.ReadElementContentAsDouble();
tmpEsSpec.initialModel = seriesDataReader.ReadElementContentAsInt();
tmpEsSpec.isMultiplicative = seriesDataReader.ReadElementContentAsBoolean();
seriesDataReader.ReadEndElement();
ExponentialSmoothingForm.ESComponent tmpEsComp = new ExponentialSmoothingForm.ESComponent();
List<double> tmpSmoothed = new List<double>();
seriesDataReader.ReadStartElement();
while (seriesDataReader.IsStartElement("Value"))
{
tmpSmoothed.Add(seriesDataReader.ReadElementContentAsDouble());
}
seriesDataReader.ReadEndElement();
tmpEsComp.smoothed = tmpSmoothed.ToArray();
List<double> tmpTrend = new List<double>();
if (seriesDataReader.IsStartElement("Trend"))
{
seriesDataReader.ReadStartElement();
while (seriesDataReader.IsStartElement("Value"))
{
tmpTrend.Add(seriesDataReader.ReadElementContentAsDouble());
}
seriesDataReader.ReadEndElement();
tmpEsComp.trend = tmpTrend.ToArray();
}
List<double> tmpSeasonal = new List<double>();
if (seriesDataReader.IsStartElement("Seasonal"))
{
seriesDataReader.ReadStartElement();
while (seriesDataReader.IsStartElement("Value"))
{
tmpSeasonal.Add(seriesDataReader.ReadElementContentAsDouble());
}
seriesDataReader.ReadEndElement();
tmpEsComp.seasonal = tmpSeasonal.ToArray();
}
List<double> tmpPredicted = new List<double>();
seriesDataReader.ReadStartElement();
while (seriesDataReader.IsStartElement("Value"))
{
tmpPredicted.Add(seriesDataReader.ReadElementContentAsDouble());
}
seriesDataReader.ReadEndElement();
tmpEsComp.predicted = tmpPredicted.ToArray();
List<double> tmpResidual = new List<double>();
seriesDataReader.ReadStartElement();
while (seriesDataReader.IsStartElement("Value"))
{
tmpResidual.Add(seriesDataReader.ReadElementContentAsDouble());
}
seriesDataReader.ReadEndElement();
tmpEsComp.residual = tmpResidual.ToArray();
List<double> tmpForecasted = new List<double>();
if (seriesDataReader.IsStartElement("Forecasted"))
{
seriesDataReader.ReadStartElement();
while (seriesDataReader.IsStartElement("Value"))
{
tmpForecasted.Add(seriesDataReader.ReadElementContentAsDouble());
}
seriesDataReader.ReadEndElement();
}
esTp.SetData(data, data.SeriesVariables[index], tmpEsSpec, tmpEsComp, tmpForecasted.ToArray());
seriesDataReader.ReadStartElement();
while (seriesDataReader.IsStartElement("View"))
{
tmpString = seriesDataReader.ReadElementContentAsString();
if (tmpString == "ESModelSummary") esTp.IsEsModelSummaryVisible = true;
else if (tmpString == "ExponentialSmoothingDataGrid") esTp.IsExponentialSmoothingDataGridVisible = true;
else if (tmpString == "Smoothing") esTp.IsSmoothingVisible = true;
else if (tmpString == "Trend") esTp.IsSmoothingVisible = true;
else if (tmpString == "Seasonal") esTp.IsSmoothingVisible = true;
//else if (tmpString == "ActualPredictedResidualDataGrid") maTp.IsActualPredictedResidualDataGridVisible = true;
else if (tmpString == "ForecastedDataGrid") esTp.IsForecastedDataGridVisible = true;
else if (tmpString == "ActualAndPredictedGraph") esTp.IsActualAndPredictedGraphVisible = true;
else if (tmpString == "ActualAndSmoothedGraph") esTp.IsActualAndSmoothedGraphVisible = true;
else if (tmpString == "ActualAndForecastedGraph") esTp.IsActualAndForecastedGraphVisible = true;
else if (tmpString == "ActualVsPredictedGraph") esTp.IsActualVsPredictedGraphVisible = true;
else if (tmpString == "ResidualGraph") esTp.IsResidualGraphVisible = true;
else if (tmpString == "ResidualVsActualGraph") esTp.IsResidualVsActualGraphVisible = true;
else if (tmpString == "ResidualVsPredictedGraph") esTp.IsResidualVsPredictedGraphVisible = true;
}
seriesDataReader.ReadEndElement();
esTp.Title = title;
esTp.DrawControl();
result.Add(esTp);
seriesDataReader.ReadEndElement();
}
else if (tmpString == "Decomposition")
{
DECResultTabPage decTp = new DECResultTabPage();
string title = seriesDataReader.ReadElementContentAsString();
tmpString = seriesDataReader.ReadElementContentAsString();
int index = VariableFinder.FindVariableIndex(data.SeriesVariables, tmpString);
DecompositionForm.DECSpecification tmpDecSpec = new DecompositionForm.DECSpecification();
seriesDataReader.ReadStartElement();
tmpDecSpec.includedObservations = seriesDataReader.ReadElementContentAsInt();
tmpDecSpec.seasonalLength = seriesDataReader.ReadElementContentAsInt();
tmpDecSpec.sseDEC = seriesDataReader.ReadElementContentAsDouble();
tmpDecSpec.mseDEC = seriesDataReader.ReadElementContentAsDouble();
tmpDecSpec.maeDEC = seriesDataReader.ReadElementContentAsDouble();
tmpDecSpec.mpeDEC = seriesDataReader.ReadElementContentAsDouble();
tmpDecSpec.mapeDEC = seriesDataReader.ReadElementContentAsDouble();
tmpDecSpec.isMultiplikatif = seriesDataReader.ReadElementContentAsBoolean();
tmpDecSpec.initialTrend = seriesDataReader.ReadElementContentAsInt();
seriesDataReader.ReadEndElement();
List<double> tmpParameters = new List<double>();
seriesDataReader.ReadStartElement();
while (seriesDataReader.IsStartElement("Value"))
{
tmpParameters.Add(seriesDataReader.ReadElementContentAsDouble());
}
seriesDataReader.ReadEndElement();
tmpDecSpec.parameters = tmpParameters.ToArray();
List<double> tmpSeasonalIdx = new List<double>();
seriesDataReader.ReadStartElement();
while (seriesDataReader.IsStartElement("Value"))
{
tmpSeasonalIdx.Add(seriesDataReader.ReadElementContentAsDouble());
}
seriesDataReader.ReadEndElement();
tmpDecSpec.seasonalIdx = tmpSeasonalIdx.ToArray();
DecompositionForm.DECComponent tmpDecComp = new DecompositionForm.DECComponent();
List<double> tmpTrend = new List<double>();
seriesDataReader.ReadStartElement();
while (seriesDataReader.IsStartElement("Value"))
{
tmpTrend.Add(seriesDataReader.ReadElementContentAsDouble());
}
seriesDataReader.ReadEndElement();
tmpDecComp.trend = tmpTrend.ToArray();
List<double> tmpDetrend = new List<double>();
seriesDataReader.ReadStartElement();
while (seriesDataReader.IsStartElement("Value"))
{
tmpDetrend.Add(seriesDataReader.ReadElementContentAsDouble());
}
seriesDataReader.ReadEndElement();
tmpDecComp.detrend = tmpDetrend.ToArray();
List<double> tmpSeasonal = new List<double>();
seriesDataReader.ReadStartElement();
while (seriesDataReader.IsStartElement("Value"))
{
tmpSeasonal.Add(seriesDataReader.ReadElementContentAsDouble());
}
seriesDataReader.ReadEndElement();
tmpDecComp.seasonal = tmpSeasonal.ToArray();
List<double> tmpDeseasonal = new List<double>();
seriesDataReader.ReadStartElement();
while (seriesDataReader.IsStartElement("Value"))
{
tmpDeseasonal.Add(seriesDataReader.ReadElementContentAsDouble());
}
seriesDataReader.ReadEndElement();
tmpDecComp.deseasonal = tmpDeseasonal.ToArray();
List<double> tmpPredicted = new List<double>();
seriesDataReader.ReadStartElement();
while (seriesDataReader.IsStartElement("Value"))
{
tmpPredicted.Add(seriesDataReader.ReadElementContentAsDouble());
}
seriesDataReader.ReadEndElement();
tmpDecComp.predicted = tmpPredicted.ToArray();
List<double> tmpResidual = new List<double>();
seriesDataReader.ReadStartElement();
while (seriesDataReader.IsStartElement("Value"))
{
tmpResidual.Add(seriesDataReader.ReadElementContentAsDouble());
}
seriesDataReader.ReadEndElement();
tmpDecComp.residual = tmpResidual.ToArray();
List<double> tmpForecasted = new List<double>();
if (seriesDataReader.IsStartElement("Forecasted"))
{
seriesDataReader.ReadStartElement();
while (seriesDataReader.IsStartElement("Value"))
{
tmpForecasted.Add(seriesDataReader.ReadElementContentAsDouble());
}
seriesDataReader.ReadEndElement();
}
decTp.SetData(data, data.SeriesVariables[index], tmpDecSpec, tmpDecComp, tmpForecasted.ToArray());
seriesDataReader.ReadStartElement();
while (seriesDataReader.IsStartElement("View"))
{
tmpString = seriesDataReader.ReadElementContentAsString();
if (tmpString == "DECModelSummary") decTp.IsDecModelSummaryVisible = true;
else if (tmpString == "DecompositionDataGrid") decTp.IsDecompositionDataGridVisible = true;
else if (tmpString == "Trend") decTp.IsTrendVisible = true;
else if (tmpString == "Detrend") decTp.IsDetrendVisible = true;
else if (tmpString == "Seasonal") decTp.IsSeasonalVisible = true;
else if (tmpString == "Deseasonal") decTp.IsDeseasonalVisible = true;
//else if (tmpString == "ActualPredictedResidualDataGrid") maTp.IsActualPredictedResidualDataGridVisible = true;
else if (tmpString == "ForecastedDataGrid") decTp.IsForecastedDataGridVisible = true;
else if (tmpString == "ActualPredictedAndTrendGraph") decTp.IsActualPredictedAndTrendGraphVisible = true;
else if (tmpString == "ActualAndForecastedGraph") decTp.IsActualAndForecastedGraphVisible = true;
else if (tmpString == "ActualVsPredictedGraph") decTp.IsActualVsPredictedGraphVisible = true;
else if (tmpString == "ResidualGraph") decTp.IsResidualGraphVisible = true;
else if (tmpString == "ResidualVsActualGraph") decTp.IsResidualVsActualGraphVisible = true;
else if (tmpString == "ResidualVsPredictedGraph") decTp.IsResidualVsPredictedGraphVisible = true;
else if (tmpString == "DetrendGraph") decTp.IsDetrendGraphVisible = true;
else if (tmpString == "DeseasonalGraph") decTp.IsDeseasonalGraphVisible = true;
}
seriesDataReader.ReadEndElement();
decTp.Title = title;
decTp.DrawControl();
result.Add(decTp);
seriesDataReader.ReadEndElement();
}
else if (tmpString == "Trend Analysis")
{
TrendAnalysisResultTabPage trendTp = new TrendAnalysisResultTabPage();
string title = seriesDataReader.ReadElementContentAsString();
tmpString = seriesDataReader.ReadElementContentAsString();
int index = VariableFinder.FindVariableIndex(data.SeriesVariables, tmpString);
TrendAnalysisForm.TrendSpecification tmpTrendSpec = new TrendAnalysisForm.TrendSpecification();
seriesDataReader.ReadStartElement();
tmpTrendSpec.includedObservations = seriesDataReader.ReadElementContentAsInt();
tmpTrendSpec.r = seriesDataReader.ReadElementContentAsDouble();
tmpTrendSpec.rSquare = seriesDataReader.ReadElementContentAsDouble();
tmpTrendSpec.rSquareAdjusted = seriesDataReader.ReadElementContentAsDouble();
tmpTrendSpec.sse = seriesDataReader.ReadElementContentAsDouble();
tmpTrendSpec.mse = seriesDataReader.ReadElementContentAsDouble();
tmpTrendSpec.initialModel = seriesDataReader.ReadElementContentAsInt();
seriesDataReader.ReadEndElement();
List<double> tmpParameters = new List<double>();
seriesDataReader.ReadStartElement();
while (seriesDataReader.IsStartElement("Value"))
{
tmpParameters.Add(seriesDataReader.ReadElementContentAsDouble());
}
seriesDataReader.ReadEndElement();
tmpTrendSpec.parameters = tmpParameters.ToArray();
List<double> tmpPredicted = new List<double>();
seriesDataReader.ReadStartElement();
while (seriesDataReader.IsStartElement("Value"))
{
tmpPredicted.Add(seriesDataReader.ReadElementContentAsDouble());
}
seriesDataReader.ReadEndElement();
List<double> tmpResidual = new List<double>();
seriesDataReader.ReadStartElement();
while (seriesDataReader.IsStartElement("Value"))
{
tmpResidual.Add(seriesDataReader.ReadElementContentAsDouble());
}
seriesDataReader.ReadEndElement();
List<double> tmpForecasted = new List<double>();
if (seriesDataReader.IsStartElement("Forecasted"))
{
seriesDataReader.ReadStartElement();
while (seriesDataReader.IsStartElement("Value"))
{
tmpForecasted.Add(seriesDataReader.ReadElementContentAsDouble());
}
seriesDataReader.ReadEndElement();
}
trendTp.SetData(data, data.SeriesVariables[index], tmpTrendSpec, tmpPredicted.ToArray(), tmpForecasted.ToArray(), tmpResidual.ToArray());
seriesDataReader.ReadStartElement();
while (seriesDataReader.IsStartElement("View"))
{
tmpString = seriesDataReader.ReadElementContentAsString();
if (tmpString == "TrendAnalysisModelSummary") trendTp.IsTrendAnalysisModelSummaryVisible = true;
else if (tmpString == "ActualPredictedResidualDataGrid") trendTp.IsActualPredictedResidualDataGridVisible = true;
else if (tmpString == "ForecastedDataGrid") trendTp.IsForecastedDataGridVisible = true;
else if (tmpString == "ActualAndPredictedGraph") trendTp.IsActualAndPredictedGraphVisible = true;
else if (tmpString == "ActualAndForecastedGraph") trendTp.IsActualAndForecastedGraphVisible = true;
else if (tmpString == "ActualVsPredictedGraph") trendTp.IsActualVsPredictedGraphVisible = true;
else if (tmpString == "ResidualGraph") trendTp.IsResidualGraphVisible = true;
else if (tmpString == "ResidualVsActualGraph") trendTp.IsResidualVsActualGraphVisible = true;
else if (tmpString == "ResidualVsPredictedGraph") trendTp.IsResidualVsPredictedGraphVisible = true;
}
seriesDataReader.ReadEndElement();
trendTp.Title = title;
trendTp.DrawControl();
result.Add(trendTp);
seriesDataReader.ReadEndElement();
}
else if (tmpString == "Correlogram")
{
CorrelogramResult cTp = new CorrelogramResult();
string title = seriesDataReader.ReadElementContentAsString();
//string lag = seriesDataReader.ReadContentAsString();
int lag = seriesDataReader.ReadElementContentAsInt();
bool whiteNoise = seriesDataReader.ReadElementContentAsBoolean();
//seriesDataReader.ReadStartElement();
//string lag = seriesDataReader.ReadElementContentAsString();
List<double> tmpData = new List<double>();
seriesDataReader.ReadStartElement();
while (seriesDataReader.IsStartElement("Value"))
{
tmpData.Add(seriesDataReader.ReadElementContentAsDouble());
}
seriesDataReader.ReadEndElement();
cTp.SetData(tmpData.ToArray(), lag, whiteNoise);
cTp.DisplayResult();
cTp.Title = title;
result.Add(cTp);
seriesDataReader.ReadEndElement();
}
}
seriesDataReader.ReadEndElement();
return result;
}
public void SetData(SeriesData data, SeriesVariable variable, NeuralNetworkAnalysisForm.NetworkSpecification networkProperties,
double[] predicted, double[] forecasted)
{
this.data = data;
this.variable = variable;
this.predicted = predicted;
this.forecasted = forecasted;
this.networkProperties = networkProperties;
}