Applied Technology on Artificial Neural Network in Fault Diagnosis System

被引：0
|
作者：
Zhu, Qi [1 ]
Li, Jian [1 ]
机构：
[1] China Shipbldg Ind Corp, Wuhan Digital Engn Inst, Wuhan 430070, Peoples R China
来源：
ADVANCED RESEARCH ON CIVIL ENGINEERING, MATERIALS ENGINEERING AND APPLIED TECHNOLOGY | 2014年 / 859卷
关键词：
Artificial Neural Network (ANN); BP; algorithm; fault diagnosis;
D O I：
10.4028/www.scientific.net/AMR.859.448
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper combined Rumelhart's adding inertial impulse and dynamically adjusting the learning rate and proposed an improved algorithm to optimize the Back Propagation (BP) networks with applied technology. This improved BP networks is used to determining membership function and applied in fuzzy diagnosing vapor congealing equipment. The application results prove that the improved BP algorithm is effective and the convergence speed is accelerated and is much faster than the classic BP algorithm. The applied technology is very useful in the application course.
引用
收藏
页码：448 / 452
页数：5
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