Title :
NEFCON-I: an X-Window based simulator for neural fuzzy controllers
Author :
Nauck, Detlef ; Kruse, Rudolf
Author_Institution :
Dept. of Comput. Sci., Tech. Univ. Braunschweig, Germany
fDate :
27 Jun-2 Jul 1994
Abstract :
In this paper we present NEFCON-I, a graphical simulation environment for building and training neural fuzzy controllers based on the NEFCON model. NEFCON-I is an X-Window based software that allows the user to specify the initial fuzzy sets, fuzzy rules and 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. NEFCON-I communicates with an external process where a dynamical system is simulated
Keywords :
backpropagation; digital simulation; fuzzy control; graphical user interfaces; neurocontrollers; perceptrons; programming environments; software packages; NEFCON-I; X-Window based simulator; dynamical syste; fuzzy error backpropagation; fuzzy perceptrons; fuzzy rules; fuzzy sets; graphical simulation environment; neural fuzzy controller; reinforcement learning; rule based fuzzy error; Backpropagation algorithms; Computational modeling; Computer science; Computer simulation; Error correction; Fuzzy control; Fuzzy sets; Internet; Software testing; System testing;
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
DOI :
10.1109/ICNN.1994.374401
