Multilayer Perceptron with Confidence Interval

Is it possible in KNIME to implement a Multilayer Perceptron which generates 2 outputs for an upper and lower bound fitting a 95% confidence interval?

If so, I would be very grateful if someone could explain the required method. Thanks in advance

Edit: Also would is it possible to incorporate this into a PMML file?