辽宁石油化工大学学报

辽宁石油化工大学学报 ›› 2011, Vol. 31 ›› Issue (1): 54-57.DOI: 10.3696/j.issn.1672-6952.2011.01.015

• 计算机与自动化 • 上一篇    下一篇

基于LabVIEW 的RBF神经网络实现

庞 明,屈宝存*   

  1. 辽宁石油化工大学信息与控制工程学院,辽宁抚顺113001
  • 收稿日期:2010-09-26 出版日期:2011-03-25 发布日期:2017-07-05
  • 作者简介:庞明(1984-),男,山东滨州市,在读硕士。

Realization of RBF Neural Network Based on LabVIEW

PANG MingQU Bao-cun*   

  1. School of Information and Control Engineering, Liaoning Shihua University, Fushun Liaoning 113001, P.R. China
  • Received:2010-09-26 Published:2011-03-25 Online:2017-07-05

摘要: LabVIEW 是一种图形化编程语言,被工业界和研究实验室广泛使用。RBF神经网络是一种三层前
向网络,可有效地进行非线性模型的辨识。介绍了3种在LabVIEW 实现RBF神经网络计算的方法。用LabVIEW
完成了RBF神经网络的程序开发并进行了函数逼近验证。仿真结果表明,使用本文方法方便有效,把RBF神经网
络与虚拟仪器开发平台结合,拓宽了其应用领域。

关键词: RBF神经网络 ,  , LabVIEW ,  ,  ,  , 编程实现

Abstract:  

LabVIEW is a graphical programming language, which is widely used by industry and laboratory. RBF neural network is a three layer feedforward network, which can effectively carry out non-linear model identification. Three types of RBF neural network calculation methods implemented in LabVIEW were introduced. It completed with LabVIEW RBF neural network program development and verification by the function approximation. The simulation results show that the RBF neural network combined with the virtual instrument development platform broaden its applications.

Key words: RBF neural network ,  LabVIEW  , Programming

引用本文

庞 明,屈宝存. 基于LabVIEW 的RBF神经网络实现[J]. 辽宁石油化工大学学报, 2011, 31(1): 54-57.

PANG Ming,QU Bao-cun. Realization of RBF Neural Network Based on LabVIEW[J]. Journal of Liaoning Petrochemical University, 2011, 31(1): 54-57.

使用本文

0
    /   /   推荐

导出引用管理器 EndNote|Ris|BibTeX

链接本文: http://journal.lnpu.edu.cn/CN/10.3696/j.issn.1672-6952.2011.01.015

               http://journal.lnpu.edu.cn/CN/Y2011/V31/I1/54