private List<LearningSetup> LearningSetup_Load(string fileName)
{
List<LearningSetup> learningSetupList = new List<LearningSetup>();
XmlDocument xmlDocument = new XmlDocument();
xmlDocument.Load(fileName);
XmlNodeList processSetupNodeList = xmlDocument.SelectNodes("/Root/ProcessSetupList/ProcessSetup");
foreach (XmlNode processSetupNode in processSetupNodeList)
{
LearningSetup loadProcessSetup = new LearningSetup();
XmlNode trainingInformationNode = processSetupNode.SelectSingleNode("TrainingInformation");
loadProcessSetup.TrainingEpoch = int.Parse(trainingInformationNode.Attributes["Epoch"].Value);
loadProcessSetup.MatrixCalculationSize = int.Parse(trainingInformationNode.Attributes["MatrixCalculationSize"].Value);
switch (trainingInformationNode.Attributes["Mode"].Value)
{
case "RandomAll":
loadProcessSetup.TrainingProcessMode = ProcessMode.RandomAll;
break;
case "RandomInStimuliPack":
loadProcessSetup.TrainingProcessMode = ProcessMode.RandomInStimuliPack;
break;
case "SequentialAll":
loadProcessSetup.TrainingProcessMode = ProcessMode.SequentialAll;
break;
case "SequentialinStimuliPack":
loadProcessSetup.TrainingProcessMode = ProcessMode.SequentialinStimuliPack;
break;
}
foreach (XmlNode matchingInformationNode in trainingInformationNode.SelectNodes("MatchingInformation"))
{
MatchingInformation loadTrainingMatchingInformation = new MatchingInformation();
loadTrainingMatchingInformation.StimuliPackName = matchingInformationNode.Attributes["StimuliPack"].Value;
loadTrainingMatchingInformation.ProcessName = matchingInformationNode.Attributes["Process"].Value;
foreach (XmlNode patternSetupNode in matchingInformationNode.SelectNodes("PatternSetup"))
{
loadTrainingMatchingInformation.PatternSetup[int.Parse(patternSetupNode.Attributes["Order"].Value)] = patternSetupNode.Attributes["Pattern"].Value;
}
loadProcessSetup.TrainingMatchingInformationList.Add(loadTrainingMatchingInformation);
}
XmlNode testInformationNode = processSetupNode.SelectSingleNode("TestInformation");
loadProcessSetup.TestTiming = int.Parse(testInformationNode.Attributes["Timing"].Value);
foreach (XmlNode matchingInformationNode in testInformationNode.SelectNodes("MatchingInformation"))
{
MatchingInformation loadtestMatchingInformation = new MatchingInformation();
loadtestMatchingInformation.StimuliPackName = matchingInformationNode.Attributes["StimuliPack"].Value;
loadtestMatchingInformation.ProcessName = matchingInformationNode.Attributes["Process"].Value;
foreach (XmlNode patternSetupNode in matchingInformationNode.SelectNodes("PatternSetup"))
{
loadtestMatchingInformation.PatternSetup[int.Parse(patternSetupNode.Attributes["Order"].Value)] = patternSetupNode.Attributes["Pattern"].Value;
}
loadProcessSetup.TestMatchingInformationList.Add(loadtestMatchingInformation);
}
learningSetupList.Add(loadProcessSetup);
}
return learningSetupList;
}
private List <LearningSetup> LearningSetup_Load(string fileName)
{
List <LearningSetup> learningSetupList = new List <LearningSetup>();
XmlDocument xmlDocument = new XmlDocument();
xmlDocument.Load(fileName);
XmlNodeList processSetupNodeList = xmlDocument.SelectNodes("/Root/ProcessSetupList/ProcessSetup");
foreach (XmlNode processSetupNode in processSetupNodeList)
{
LearningSetup loadProcessSetup = new LearningSetup();
XmlNode trainingInformationNode = processSetupNode.SelectSingleNode("TrainingInformation");
loadProcessSetup.TrainingEpoch = int.Parse(trainingInformationNode.Attributes["Epoch"].Value);
loadProcessSetup.MatrixCalculationSize = int.Parse(trainingInformationNode.Attributes["MatrixCalculationSize"].Value);
switch (trainingInformationNode.Attributes["Mode"].Value)
{
case "RandomAll":
loadProcessSetup.TrainingProcessMode = ProcessMode.RandomAll;
break;
case "RandomInStimuliPack":
loadProcessSetup.TrainingProcessMode = ProcessMode.RandomInStimuliPack;
break;
case "SequentialAll":
loadProcessSetup.TrainingProcessMode = ProcessMode.SequentialAll;
break;
case "SequentialinStimuliPack":
loadProcessSetup.TrainingProcessMode = ProcessMode.SequentialinStimuliPack;
break;
}
foreach (XmlNode matchingInformationNode in trainingInformationNode.SelectNodes("MatchingInformation"))
{
MatchingInformation loadTrainingMatchingInformation = new MatchingInformation();
loadTrainingMatchingInformation.StimuliPackName = matchingInformationNode.Attributes["StimuliPack"].Value;
loadTrainingMatchingInformation.ProcessName = matchingInformationNode.Attributes["Process"].Value;
foreach (XmlNode patternSetupNode in matchingInformationNode.SelectNodes("PatternSetup"))
{
loadTrainingMatchingInformation.PatternSetup[int.Parse(patternSetupNode.Attributes["Order"].Value)] = patternSetupNode.Attributes["Pattern"].Value;
}
loadProcessSetup.TrainingMatchingInformationList.Add(loadTrainingMatchingInformation);
}
XmlNode testInformationNode = processSetupNode.SelectSingleNode("TestInformation");
loadProcessSetup.TestTiming = int.Parse(testInformationNode.Attributes["Timing"].Value);
foreach (XmlNode matchingInformationNode in testInformationNode.SelectNodes("MatchingInformation"))
{
MatchingInformation loadtestMatchingInformation = new MatchingInformation();
loadtestMatchingInformation.StimuliPackName = matchingInformationNode.Attributes["StimuliPack"].Value;
loadtestMatchingInformation.ProcessName = matchingInformationNode.Attributes["Process"].Value;
foreach (XmlNode patternSetupNode in matchingInformationNode.SelectNodes("PatternSetup"))
{
loadtestMatchingInformation.PatternSetup[int.Parse(patternSetupNode.Attributes["Order"].Value)] = patternSetupNode.Attributes["Pattern"].Value;
}
loadProcessSetup.TestMatchingInformationList.Add(loadtestMatchingInformation);
}
learningSetupList.Add(loadProcessSetup);
}
return(learningSetupList);
}
