NEFCON-I: An X-Window Based Simulator for Neural Fuzzy Controllers
نویسندگان
چکیده
| In this paper we present NEFCON-I, a graphical simulation environment for building and training neural fuzzy controllers based on the NEF-CON model 6]. NEFCON-I is an X-Window based software that allows a user to specify initial fuzzy sets, fuzzy rules and a rule based fuzzy error. The neural fuzzy controller is trained by a reinforcement learning procedure which is derived from the fuzzy error backpropagation algorithm for fuzzy perceptrons 7]. NEFCON-I communicates with an external process where a dynamical system is simulated. NEFCON-I is freely available on the internet.
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