Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP
Path: utzoo!utgpu!water!watmath!clyde!rutgers!sri-spam!mordor!lll-tis!ptsfa!ihnp4!inuxc!iuvax!ndmath!milo
From: milo@ndmath.UUCP
Newsgroups: comp.ai
Subject: Neural Networks & Unaligned fields
Message-ID: <277@ndmath.UUCP>
Date: Wed, 2-Sep-87 15:18:10 EDT
Article-I.D.: ndmath.277
Posted: Wed Sep  2 15:18:10 1987
Date-Received: Fri, 4-Sep-87 05:02:54 EDT
Organization: Math. Dept., Univ. of Notre Dame
Lines: 12

Ok, here's a quick question for anyone who's getting into Neural Networks.
If you setup the type of network described in BYTE this month, or the
type used in the program recently posted to the net, what happens if you
feed it an input image that is not aligned right?

For example, in the Byte article they demonstrate correct recall of an image
corrupted by randomly flipping a number of bytes, simulating "noise".  What
would happen if they just shifted the input image one or two bits to the left?
Would the network still recognize the pattern?

Greg Corson
...seismo!iuvax!ndmath!milo