DocumentCode :
312631
Title :
AFAN, a tool for the automatic synthesis of neural and fuzzy controllers with architecture optimization
Author :
González, R. ; Torralba, A. ; Franquelo, Leopoldo G.
Author_Institution :
Dept. de Ingenieria Electron., Seville Univ., Spain
Volume :
1
fYear :
1997
fDate :
9-12 Jun 1997
Firstpage :
637
Abstract :
This paper presents a tool for hardware synthesis of neural and fuzzy systems. The proposed tool, called AFAN, pays special attention to the architecture of the controller. AFAN deals with different kinds of hardware parallelism and with the interconnection between the internal blocks. A set of fully worked examples are provided in order to show the solutions provided by AFAN with different specifications
Keywords :
control system CAD; fuzzy control; hardware description languages; neurocontrollers; optimal control; AFAN; architecture optimization; automatic synthesis; fuzzy controllers; hardware parallelism; hardware synthesis; internal blocks; neural controllers; Automatic control; Automotive engineering; Control system synthesis; Electrical equipment industry; Fuzzy control; Fuzzy sets; Fuzzy systems; Hardware design languages; Home appliances; Service robots;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1997. ISCAS '97., Proceedings of 1997 IEEE International Symposium on
Print_ISBN :
0-7803-3583-X
Type :
conf
DOI :
10.1109/ISCAS.1997.608904
Filename :
608904
Link To Document :
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