Fault Diagnosis Model of Main Engine Water Cooling System Based on Attribute Hybrid Computing Network

被引：0

作者：

Liu Nianzu ^{[1
]}

Xu Guanglin ^{[1
]}

Liu Yongchang ^{[2
]}

机构：

[1] Shanghai Lixin Univ Commerce, Sch Math & Informat, Shanghai 201620, Peoples R China

[2] Shanghai Maritime Univ, Coll Informat Engn, Shanghai 200135, Peoples R China

来源：

APPLIED INFORMATICS AND COMMUNICATION, PT 2 | 2011年 / 225卷

关键词：

Attribute Hybrid Computing Network; Fault Diagnosis;

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：

On the basis of illustration of attribute hybrid computing network model, the paper gives the improving methods of training and learning of the model and applies it to fault diagnosis of the main engine water cooling system. The final results of simulation test verify the feasibility of methods.

引用

页码：330 / +

页数：2