In article <64e14a$elu at ux.cs.niu.edu>, rickert at cs.niu.edu (Neil
>In <01bcefc9$33b20160$e67a61ce at asdf> "ray scanlon" <rscanlon at wsg.net> writes:
>>Neil Rickert <rickert at cs.niu.edu> wrote in article
>><64a8qu$abu at ux.cs.niu.edu>...
>>> In <01bceec8$7cb77900$fd7a61ce at asdf> "ray scanlon" <rscanlon at wsg.net>
>>>What is needed is the ability to generalize, the ability to clear off
>>some trees so we may have a clear view of the forest.
>>But I think you have made it very difficult to generalize by
>insisting on a bottom up neural net methodology.
I may be misinterpreting your message but isn't it the top down
approach that makes it difficult to generalize? Doesn't approaching
the problem using simple components much more in keeping with general
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