}
private void performLMA(ProjectEGFile file, MLDataSet trainingData) {
InputLMA dialog = new InputLMA();
if (dialog.process()) {
LevenbergMarquardtTraining train = new LevenbergMarquardtTraining(
(BasicNetwork) file.getObject(), trainingData);
startup(file, train, dialog.getMaxError().getValue() / 100.0);
}
}