本文整理汇总了C#中Simulator.WeightInformationReader方法的典型用法代码示例。如果您正苦于以下问题：C# Simulator.WeightInformationReader方法的具体用法？C# Simulator.WeightInformationReader怎么用？C# Simulator.WeightInformationReader使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Simulator的用法示例。
在下文中一共展示了Simulator.WeightInformationReader方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C#代码示例。
示例1: ProcessThread
private void ProcessThread()
{
for (int batchIndex = currentBathDataIndex; batchIndex < batchDataList.Count; batchIndex++)
{
learningStatus = LearningStatus.Training;
currentBathDataIndex = batchIndex;
simulator = batchDataList[batchIndex].Simulator;
learningSetupList = batchDataList[batchIndex].LearningSetupList;
simulator.UseActivationInformation = saveLayerActivationCheckBox.Checked;
simulator.UseWeightInformation = saveWeightCheckBox.Checked;
this.Invoke(new MethodInvoker(delegate
{
BatchListBoxRefresh();
TestDisplayRefresh();
}));
for (int learningSetupIndex = currentLearningSetupIndex; learningSetupIndex < learningSetupList.Count; learningSetupIndex++)
{
totalEpoch = 0;
for (int i = 0; i < learningSetupIndex; i++) totalEpoch += learningSetupList[i].TrainingEpoch;
currentLearningSetupIndex = learningSetupIndex;
List<MatchingInformation> currentTrainingMatchingInformationList = learningSetupList[learningSetupIndex].TrainingMatchingInformationList;
List<MatchingInformation> currentTestMatchingInformationList = learningSetupList[learningSetupIndex].TestMatchingInformationList;
List<TrialInformation> testMatrixTrialInformationList = new List<TrialInformation>();
foreach (MatchingInformation testMatchingInformation in currentTestMatchingInformationList)
{
bool isSRN = false;
foreach (Order order in simulator.ProcessDictionary[testMatchingInformation.ProcessName])
{
if (order.Code == OrderCode.SRNTraining || order.Code == OrderCode.SRNTest) isSRN = true;
}
List<StimuliMatrix> stimuliMatrixList;
if (isSRN && learningSetupList[learningSetupIndex].MatrixCalculationSize == 1) stimuliMatrixList = simulator.StimuliPackDictionary[testMatchingInformation.StimuliPackName].GetMatrixStimuliData(true, true, 1);
else stimuliMatrixList = simulator.StimuliPackDictionary[testMatchingInformation.StimuliPackName].GetMatrixStimuliData(false, false, simulator.StimuliPackDictionary[testMatchingInformation.StimuliPackName].Count);
foreach (StimuliMatrix stimuliMatrix in stimuliMatrixList)
{
TrialInformation newTestTrialInformation = new TrialInformation();
newTestTrialInformation.Process = simulator.ProcessDictionary[testMatchingInformation.ProcessName];
newTestTrialInformation.PatternSetup = testMatchingInformation.PatternSetup;
newTestTrialInformation.StimuliMatrix = stimuliMatrix;
testMatrixTrialInformationList.Add(newTestTrialInformation);
}
}
if (currentEpoch == 0)
{
learningStatus = LearningStatus.Test;
if (simulator.UseWeightInformation) simulator.WeightInformationReader(totalEpoch + 0);
for (int testIndex = 0; testIndex < testMatrixTrialInformationList.Count; testIndex++)
{
simulator.Process(testMatrixTrialInformationList[testIndex], totalEpoch + 0);
}
}
for (int epochIndex = currentEpoch; epochIndex < learningSetupList[learningSetupIndex].TrainingEpoch; epochIndex++)
{
learningStatus = LearningStatus.Training;
currentTick = DateTime.Now.Ticks;
currentEpoch = epochIndex;
List<TrialInformation> trainingMatrixTrialInformationList = new List<TrialInformation>();
foreach (MatchingInformation trainingMatchingInformation in currentTrainingMatchingInformationList)
{
List<StimuliMatrix> stimuliMatrixList = new List<StimuliMatrix>();
switch (learningSetupList[learningSetupIndex].TrainingProcessMode)
{
case ProcessMode.RandomAll:
case ProcessMode.RandomInStimuliPack:
stimuliMatrixList = simulator.StimuliPackDictionary[trainingMatchingInformation.StimuliPackName].GetMatrixStimuliData(true, true, learningSetupList[learningSetupIndex].MatrixCalculationSize);
break;
case ProcessMode.SequentialAll:
case ProcessMode.SequentialinStimuliPack:
stimuliMatrixList = simulator.StimuliPackDictionary[trainingMatchingInformation.StimuliPackName].GetMatrixStimuliData(true, false, learningSetupList[learningSetupIndex].MatrixCalculationSize);
break;
}
foreach (StimuliMatrix stimuliMatrix in stimuliMatrixList)
{
TrialInformation newTrainingTrialInformation = new TrialInformation();
newTrainingTrialInformation.Process = simulator.ProcessDictionary[trainingMatchingInformation.ProcessName];
newTrainingTrialInformation.PatternSetup = trainingMatchingInformation.PatternSetup;
newTrainingTrialInformation.StimuliMatrix = stimuliMatrix;
trainingMatrixTrialInformationList.Add(newTrainingTrialInformation);
}
}
switch (learningSetupList[learningSetupIndex].TrainingProcessMode)
{
//.........这里部分代码省略.........