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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

Hi Vishal:

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. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.40.481 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.27.699 www.matlab.com ---- Sarle, W. S.

Look into SAS Procs GLIMSELECT Scatte,r PLS and Discrim

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.

HTH, John Birken, jbirken@cdc.gov

And/or----Original Messge----- From: SAS(r) Discussion [mailto:SAS-L@LISTSERV.UGA.EDU] On Behalf Of vishal jain Sent: Monday, May 25, 2009 10:39 AM To: SAS-L@LISTSERV.UGA.EDU Subject: Help on Neural Networks

Hi All

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 use etc.)

-- Thanks in advance Vishal Jain


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