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Productive SRNs
Hi all,
I'm trying to set up a trained SRN network (Elman 1990) to be productive.
That's to say, I want the network form a arbitrary starting input produce
an output, normalize this output and with a probabilistic algorithm set up
next input to the network from the normalized output, and continue this for
a number of cycles.
I am a begginner in PDP++ and although I have tried with Script
Environments and CSS scripts (based on simple_fsa.css given in demo)
nothing seems to work. Have anyone done this or something similar?. Is
there a more specific and complete guide for PDP++ script (many of the
'simple_fsa.css' functions and objects have no reference in the official
manual)? Any clue?
Thanks in advance.
Javier
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Dr. Javier Marín Serrano
Dep. Psicología Básica y Metodología
Universidad de Murcia
30100 Campus de Espinardo - Murcia
SPAIN
Tel: +968 364277
Fax: +968 364115
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