Date: Fri, 6 Sep 1996 10:16:53 GMT
Reply-To: "A.O.Schweikert" <101557.3650@COMPUSERVE.COM>
Sender: "SAS(r) Discussion" <SAS-L@UGA.CC.UGA.EDU>
From: "A.O.Schweikert" <101557.3650@COMPUSERVE.COM>
Organization: CompuServe, Inc. (1-800-689-0736)
Subject: SAS: TNN3 macro for neural nets
I'm using SAS TNN3-macro for solving a problem with neural
I have two sets of input variables (A) and (B).
I have an output variable Y which is a function of (A) and only
And I have a variable Z which is a function of (A) and (B):
I want to predict Y and Z simultaneously in one net.
How do I construct the net ?
I had tried the following structure:
Use 2 input layer.sets I(A) I(B).
Use 2 hidden layer sets H1 H2.
Use the two output layers O(Y) O(Z).
Then connect: I(A)-H1 / H1-O(Y) /
I(A)-H2 / I(B)-H2 / H1-O(Z) / H2-O(Z)
This gives nice estimates for Z but constants for Y.
I'd appreciate your hints. TIA Albrecht