Air quality prediction using a neuro-fuzzy system

被引：0
|
作者：
Negnevitsky, M [1 ]
Kelareva, G [1 ]
机构：
[1] Univ Tasmania, Sch Engn, Hobart, Tas 7001, Australia
来源：
10TH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3: MEETING THE GRAND CHALLENGE: MACHINES THAT SERVE PEOPLE | 2001年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Neuro-fuzzy systems combine advantages of both neural networks and fuzzy systems. They use fuzzy rules to incorporate knowledge of a human expert and, at the same time, are capable of learning from data. This paper demonstrates an application of a neuro-fuzzy system for predicting air quality in a region.
引用
收藏
页码：481 / 484
页数：4
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