dkrm@computing-maths.cardiff.ac.uk (Daniel K R McCormack) (02/07/91)
Hi , This problem is most probably blantently obvoius to most neural netters except me . I have read somewhere that a backpropogation alg requires random weight initialisation , and that an all zero weight matricies will result in the network not learning. I have tried this out with a few simulation packages and they seem to learn with zeroed weights . If this is the case , how do you represent 'dead' connections ( i.e. connection that in theory are not present ) in the network . I've even looked at the equations for bp learning and I cannot see that a weight is not altered if the weight = zero . I really hope someone can put me out of my misery soon Thanks in Advance Daniel email dkrm@cm.cf.ac.uk