|Date: ||Tue, 26 May 2009 12:28:40 -0400|
|Reply-To: ||John Birken <zbq5@CDC.GOV>|
|Sender: ||"SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>|
|From: ||John Birken <zbq5@CDC.GOV>|
|Subject: ||Re: Help on Neural Networks|
|Content-Type: ||text/plain; charset=ISO-8859-1|
W.S. Sarle is good source for neural networks.
Here a few of his references:
Sarle, W. S. (1994), “Neural Networks and Statistical Models,” in
Proceedings of the Nineteenth Annual SAS Users Group International
Conference, Cary, NC: SAS Institute Inc.
www.matlab.com ---- Sarle, W. S.
SAS Procs GLIMSELECT Scatte,r
I'm cool on neural network for the prediction work I do.
I prefer Recursive Feedback such as the Kalman method which SAS has.
When you fly Boeing 777 you are under Kalman control.
The same for many other newer platforms and manuafacturing.
If you have many independent variables you may need Neural networks
I use MATLAB's neural and control packages package for this work.
Sarle has free neural routines for the MATLAB package.
John Birken, firstname.lastname@example.org
From: SAS(r) Discussion [mailto:SAS-L@LISTSERV.UGA.EDU] On Behalf Of
Sent: Monday, May 25, 2009 10:39 AM
Subject: Help on Neural Networks
Can anyone provide information on pros and cons of supervised or
unsupervised Neural Net methodology and how to implement the same in
SAS ( how we need to prepare the data for the same ?, what procs do we
Thanks in advance