// train network 2, continue
Backpropagation rprop2 = new Backpropagation(network2,trainingData,0.4,0.4);
rprop2.iteration();
rprop2.iteration();
TrainingContinuation state = rprop2.pause();
rprop2 = new Backpropagation(network2,trainingData,0.4,0.4);
rprop2.resume(state);
rprop2.iteration();
rprop2.iteration();