No Subject

[rrobare@att.net]

I'm working on a network that has a similar architecture to Rumelhart & Todd 
(1990), with separate noun and verb inputs.  The goal is to produce 
categorization at the output layer, i.e. with two (or more) different input 
patterns to produce the same output pattern.  This should be a simple task, but 
the network doesn't appear to learn it, and I'm hoping someone might have a 
suggestion as to why.
My only clue as to what is happening is in running a textlog with a samename 
statistic.  This shows that when Event 1 and Event 2 have the same output, the 
input event will be Event 2 but the output event will be called Event 1 and 
counted as an error.  
Thanks in advance for your assistance.

Rebecca Robare