CMU Artificial Intelligence Repository
NEFCON: InterViews-based graphical simulation environment
for Neural Fuzzy Controllers
areas/fuzzy/systems/nefcon/
NEFCON-I (NEural Fuzzy CONtroller) is an X11 simulation environment
based on Interviews designed to build and test neural fuzzy
controllers. NEFCON-I is able to learn fuzzy sets and fuzzy rules by
using a kind of reinforcement learning that is driven by a fuzzy error
measure. To do this NEFCON-I communicates with another process, that
implements a simulation of a dynamical process. NEFCON-I can optimize
the fuzzy sets of the antecedents and the conclusions of a given rule
base, and it can also create a rulebase from scratch.
Origin:
ibr.cs.tu-bs.de:/pub/local/nefcon/ [134.169.34.15]
as the file nefcon_1.0.tar.gz
ibr.cs.tu-bs.de:/pub/local/papers/INDEX
Version: 1.0 (16-JUN-94)
Copying: GNU GPL v2
If you are using NEFCON-I, please send an email message
to the authors so that they can keep track of users.
They will keep you informed about updates to the software.
CD-ROM: Prime Time Freeware for AI, Issue 1-1
Author(s): Detlef Nauck
Keywords:
Authors!Nauck, Fuzzy Logic!Controllers, GNU GPL, NEFCON,
Neural Networks
References: ?
Last Web update on Mon Feb 13 10:22:22 1995
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