摘要
将区间值与模糊推理相结合,在构造神经网络的过程中为了简化网络结构而将它们与Rough集中的知识约简相结合,从而提出了基于区间值推理的粗糙神经网络.
The interval value and the fuzzy reasoning are combined in this paper. And in the process of neural network construction, they are combined with the knowledge reduction of the Rough set theory. The fuzzy neural network based on the inerval reasoning is provided.
出处
《四川师范大学学报(自然科学版)》
CAS
CSCD
北大核心
2006年第3期262-263,共2页
Journal of Sichuan Normal University(Natural Science)
基金
国家自然科学基金(69803007)资助项目
关键词
区间值
粗糙集
知识约简
模糊神经网络
Interval value
Rough set
Knowledge reduction
Fuzzy neural network