期刊文献+
任意字段
题名或关键词
题名
关键词
摘要
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息
共找到3篇文章
< 1 >
每页显示 20 50 100
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
显示方式：
ANN Model and Learning Algorithm in Fault Diagnosis for FMS 认领 引用 被引量：2
1
作者 史天运 王信义 +1 位作者 张之敬 朱小燕 《Journal of Beijing Institute of Technology》 EI CAS 1997年第4期45-53,共9页
The fault diagnosis model for FMS based on multi layer feedforward neural networks was discussed An improved BP algorithm,the tactic of initial value selection based on genetic algorithm and the method of network stru... The fault diagnosis model for FMS based on multi layer feedforward neural networks was discussed An improved BP algorithm,the tactic of initial value selection based on genetic algorithm and the method of network structure optimization were presented for training this model ANN(artificial neural network)fault diagnosis model for the robot in FMS was made by the new algorithm The result is superior to the rtaditional algorithm 展开更多
关键词 fault diagnosis for FMS artificial neural network(ANN) improved BP algorithm optimization genetic algorithm learning speed
暂未订购 下载PDF
Proton exchange membrane fuel cells modeling based on artificial neural networks 认领 引用 被引量：5
2
作者 YudongTian XinjianZhu GuangyiCao 《Journal of University of Science and Technology Beijing》 2005年第1期72-77,共6页
To understand the complexity of the mathematical models of a proton exchange membrane fuel cell (PEMFC) and their shortage of practical PEMFC control, the PEMFC complex mechanism and the existing PEMFC models are anal... To understand the complexity of the mathematical models of a proton exchange membrane fuel cell (PEMFC) and their shortage of practical PEMFC control, the PEMFC complex mechanism and the existing PEMFC models are analyzed, and artificial neural networks based PEMFC modeling is advanced. The structure, algorithm, training and simulation of PEMFC modeling based on improved BP networks are given out in detail. The computer simulation and conducted experiment verify that this model is fast and accurate, and can be used as a suitable operational model for PEMFC real-time control. 展开更多
关键词 fuel cells proton exchange membrane artificial neural networks improved BP algorithm modeling
暂未订购 下载PDF
A novel compensation-based recurrent fuzzy neural network and its learning algorithm 认领 引用 被引量：6
3
作者 WU Bo WU Ke LU JianHong 《Science in China(Series F)》 2009年第1期41-51,共11页
Based on detailed study on several kinds of fuzzy neural networks, we propose a novel compensationbased recurrent fuzzy neural network （CRFNN） by adding recurrent element and compensatory element to the conventional... Based on detailed study on several kinds of fuzzy neural networks, we propose a novel compensationbased recurrent fuzzy neural network （CRFNN） by adding recurrent element and compensatory element to the conventional fuzzy neural network. Then, we propose a sequential learning method for the structure identification of the CRFNN in order to confirm the fuzzy rules and their correlative parameters effectively. Furthermore, we improve the BP algorithm based on the characteristics of the proposed CRFNN to train the network. By modeling the typical nonlinear systems, we draw the conclusion that the proposed CRFNN has excellent dynamic response and strong learning ability. 展开更多
关键词 compensation-based recurrent fuzzy neural network sequential learning method improved BP algorithm nonlinear system
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
上一页 1 下一页 到第 页
在线咨询 使用帮助 返回顶部 意见反馈