Path: utzoo!utgpu!news-server.csri.toronto.edu!rpi!zaphod.mps.ohio-state.edu!samsung!noose.ecn.purdue.edu!stable.ecn.purdue.edu!muttiah From: muttiah@stable.ecn.purdue.edu (Ranjan S Muttiah) Newsgroups: comp.ai.neural-nets Subject: normalizing Message-ID: <1991Apr25.182305.7628@noose.ecn.purdue.edu> Date: 25 Apr 91 18:23:05 GMT Sender: root@noose.ecn.purdue.edu (ECN System Management) Organization: Purdue University Engineering Computer Network Lines: 13 Say you have a set X that has the following values: X = {5, 6, 7, 8, 10}. X is known to have a maximum value of 20. So, for input to a typical network, do I normalize such as: X_new = {5/10, 6/10 ... } or as: X_new = {5/20, 6/20, .... }