TrainingSet testSet = new TrainingSet();
testSet.addElement(new TrainingElement(new double[]{4223.0D / daxmax, 4259.0D / daxmax, 4203.0D / daxmax, 3989.0D / daxmax}));
for (TrainingElement testElement : testSet.trainingElements()) {
neuralNet.setInput(testElement.getInput());
neuralNet.calculate();
double[] networkOutput = neuralNet.getOutput();
System.out.print("Input: " + Arrays.toString(testElement.getInput()) );
System.out.println(" Output: " + Arrays.toString(networkOutput) );
}