Self-learning fuzzy neural network and its application to fire auto-detecting in fire protection system

被引：0
|
作者：
Chen, SY [1 ]
Yi, JK [1 ]
Zhao, YY [1 ]
机构：
[1] Beijing Polytech Univ, Dept Automat, Beijing 100022, Peoples R China
来源：
PROCEEDINGS OF THE 3RD WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-5 | 2000年
关键词：
fuzzy logic; neural network; online learning; fire auto-detecting;
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：
In this paper, a Fuzzy-Neuro Network architecture has been proposed. Initial fuzzy knowledge base can be built by means of self-adaptive learning from historical data, fuzzy rules and system parameters can be optimized by online learning of FNN via real-time data, which make the system possess distinguished adaptive feature and self-learning capablity. Taking fire auto-detecting in fire protection system as application background, a series of experiment research have been carried out. Experiment results demonstrate the feasibility of neuro-fuzzy system.
引用
收藏
页码：1754 / 1757
页数：4
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