private void LoadTrainingSet(NeuralDataSet.TrainingSetsRow trainingSetRow)
{
NeuralDataSet.TrainingItemRow[] itemRows = SelectTrainingItemsFromTrainingSet(trainingSetRow);
for (int i = 0; i < itemRows.Length; i++)
{
((Synapse)currentSynapseMap[itemRows[i].tiFK_synapse]).Weight = itemRows[i].ti_weight;
}
}
private void SaveTrainingSet(NeuralDataSet.TrainingSetsRow trainingSetRow)
{
NeuralDataSet.SynapsesRow[] synapseRows = SelectSynapsesFromNetwork(currentNetworkRow);
for (int i = 0; i < synapseRows.Length; i++)
{
database.TrainingItem.AddTrainingItemRow(trainingSetRow, synapseRows[i], ((Synapse)currentSynapseMap[synapseRows[i].syID]).Weight);
}
}
private NeuralDataSet.TrainingItemRow[] SelectTrainingItemsFromTrainingSet(NeuralDataSet.TrainingSetsRow trainingSet)
{
return((NeuralDataSet.TrainingItemRow[])database.TrainingItem.Select("tiFK_trainingset = " + trainingSet.trID));
}
/// <summary>
/// Save the current training to the repository and name it with
/// a new repository title
/// </summary>
/// <param name="title">The new training set's repository title (choosable).</param>
/// <returns>The new training set's repository ID</returns>
public int SaveNetworkState(string title)
{
NeuralDataSet.TrainingSetsRow row = database.TrainingSets.AddTrainingSetsRow(currentNetworkRow, title);
SaveTrainingSet(row);
return(row.trID);
}
