检索结果-内蒙古大学图书馆

Identification of dynamic object using z-transform artificial neural network

NEUROCOMPUTING 2018年 312卷 382-389页

作者： Szymczyk, P. Szymczyk, M. AGH Univ Sci & Technol Fac Elect Engn Automat Comp Sci & Biomed Engn Al A Mickiewicza 30 PL-30059 Krakow Poland

The aim of the paper is to present the method of identification of dynamic discreet objects using neural networks with z-transform. The process of network learning consists of determining approximation of object z-transform, with increasing precision in each iteration, based on all the previous input and output signals. This method of identification may be used also in non-stationary objects. It allows to modify the z-transform on line. The proposed method of identification is based on iterative modification of the transmittance of a neural network with z-transform. The modification is calculated after every step which provides new coefficients. The exact transmittance of the object is defined after evaluation of the last coefficient which has the longest delay time. In the beginning of the article, theoretical solutions describing the identification method have been described. Next part shows the application of those solutions on four examples. The last part presents the results and proposed future development. The article also includes an appendix with z-transform basics. (C) 2018 Elsevier B.V. All rights reserved.

关键词： z-transform artificial neural network zTANN Identification Digital control systems

来源：评论

学校读者我要写书评

暂无评论

Automatic processing of z-transform artificial neural networks using parallel programming

引用

NEUROCOMPUTING 2020年第0期379卷 74-88页

作者： Szymczyk, M. Szymczyk, P. AGH Univ Sci & Technol Dept Biocybernet & Biomed Engn Fac Elect Engn Automat Comp Sci & Biomed Engn A Mickiewicza 30 PL-30059 Krakow Poland

The article describes the process of computing the z-transform neural network on the basis of input and output signals of analyzed object. Parallel algorithms for performing these calculations are presented and different parallel architectures with different number of processors showing their advantages and limitations are analyzed. (C) 2019 Elsevier B.V. All rights reserved.

关键词： Parallel programming z-transform z-transform artificial neural network zTANN

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：