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From: saswss@hotellng.unx.sas.com (Warren Sarle)
Subject: Re: Fuzzy as a NN replacement?
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Date: Mon, 16 Jan 1995 02:27:30 GMT
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In article <D2GpC1.Bw0@news.hawaii.edu>, pollarda@uhunix3.uhcc.Hawaii.Edu (Art Pollard) writes:
|> ...
|> The problem as I see it with Neural Nets is that you can't get
|> probabilities and so, you only get one answer.

On the contrary, a feedforward net trained by any reasonable criterion
to classify cases into a fixed set of categories will provide outputs
that are statistically consistent estimates of the posterior
probabilities of each class, just like logistic regression would.

-- 

Warren S. Sarle       SAS Institute Inc.   The opinions expressed here
saswss@unx.sas.com    SAS Campus Drive     are mine and not necessarily
(919) 677-8000        Cary, NC 27513, USA  those of SAS Institute.
