1. The problem statement, all variables and given/known data http://www4.rgu.ac.uk/files/chapter3%20-%20bp.pdf [Broken] This website gives the procedure for calculating the error for one hidden layer on page 19. Can anyone confirm this method as being correct? 1. They don't use any hidden neurons in any calculations. (Acceptable but almost everyone uses bias neurons now) 2. Is their method correct for any size network (i.e. more than one hidden layer) This is the first website I found that actually goes through the backpropagation calculations and it seems pretty straight forward. However, I would really appreciate if someone could vouch for the source or point me in a better example of back-propagation. Thanks.