Title :
Combining fuzzy rules and a neural network in an adaptive system
Author :
Spiegel, Rainer ; Le Pelley, M.E. ; Suret, Mark ; McLaren, IPL
Author_Institution :
Dept. of Exp. Psychol., Cambridge Univ., UK
fDate :
6/24/1905 12:00:00 AM
Abstract :
It has been shown that humans can rely on both rules or associations to solve a problem. We present a model in which rules may be applied to a particular sequence learning task, but rather than the rules being applied in an all-or-none fashion, a continuum from fully representing to not representing a rule is required in order to model human task performance
Keywords :
adaptive systems; fuzzy logic; neural nets; psychology; adaptive system; fuzzy rules; human task performance; neural network; sequence learning task; Adaptive systems; Artificial neural networks; Computational modeling; Fuzzy logic; Fuzzy neural networks; Fuzzy systems; Humans; Intelligent networks; Neural networks; Psychology;
Conference_Titel :
Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7280-8
DOI :
10.1109/FUZZ.2002.1005013
