The diagnosis and prediction of the state of a gas-turbine engine by hybrid neuro-fuzzy expert systems

被引：0
|
作者：
Zhernakov, SV [1 ]
机构：
[1] Ufa State Tech Univ Aviat, Ufa, Bashkortostan, Russia
来源：
JOURNAL OF COMPUTER AND SYSTEMS SCIENCES INTERNATIONAL | 1999年 / 38卷 / 05期
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：
The problem of constructing diagnostic neuro-fuzzy expert systems (ESs) is considered. An architecture of a neuro-fuzzy ES and its subsystems is proposed. A comparative analysis of separate models and combined neural networks is performed as applied to the diagnosis of an aircraft gas-turbine engine (GTE). The problem of effective interaction of diverse knowledge in a hybrid neuro-fuzzy ES is solved.
引用
收藏
页码：819 / 824
页数：6
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