Seeking Examples of Learning With Fixed Weights

In most applications of ANNs, learning consists of changing the weights
until desired behavior is reached.  In these applications no learning
takes place after the weights are fixed.  In a feed-forward network no
such learning is possible.  However, a recurrent network has the
possibility of learning even after the weights are fixed.

I would like to know about any examples where this has been
accomplished.

Thank You,

Mitchell Timin

-- 
"Many are stubborn in pursuit of the path they have chosen, few in
pursuit of the goal." - Friedrich Nietzsche

http://annevolve.sourceforge.net is what I'm into nowadays.
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