Path: utzoo!dciem!array!ling
From: ling@array.UUCP (Ling Guan)
Newsgroups: comp.ai.neural-nets
Subject: Input scaling alters my results; why?
Message-ID: <473@array.UUCP>
Date: 10 Aug 90 19:46:24 GMT
Organization: Array Systems Computing, Inc., Toronto, Ontario, CANADA
Lines: 11
Summary:

I am currently using NN to do recognition of objects in
xray images. The NN I use is a standard backpropagation net with
cumulative generalized delta training rule. I found that the
classification results depend on how the inputs are scaled. For
example, scaling the inputs to between -1 and 1 gives better
results than to between 0 and 1. I can't find any explanation for
this outcome. Anybody can give me comments or explanations?

Thanks in advance.

Ling