Combining fuzzy rules and a neural network in an adaptive system

被引：0
|
作者：
Spiegel, R [1 ]
Le Pelley, ME [1 ]
Suret, M [1 ]
McLaren, IPL [1 ]
机构：
[1] Univ Cambridge, Dept Expt Psychol, Cambridge CB2 3EB, England
来源：
PROCEEDINGS OF THE 2002 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOL 1 & 2 | 2002年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：340 / 345
页数：6
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