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计算机工程 ›› 2010, Vol. 36 ›› Issue (14): 153-155. doi: 10.3969/j.issn.1000-3428.2010.14.055

• 人工智能及识别技术 • 上一篇    下一篇

基于Matlab与Linux的神经网络实现方法

夏文超,刘建平,戴瑜兴   

  1. (湖南大学电气与信息工程学院,长沙 410082)
  • 出版日期:2010-07-20 发布日期:2010-07-20
  • 作者简介:夏文超(1983-),男,硕士,主研方向:嵌入式系统,人工智能;刘建平,硕士研究生;戴瑜兴,教授、博士生导师
  • 基金资助:
    湖南省科技计划基金资助项目(2008GK3037)

Realization Method of Neural Network Based on Matlab and Linux

XIA Wen-chao, LIU Jian-ping, DAI Yu-xing   

  1. (Electrical and Information Engineering College, Hunan University, Changsha 410082)
  • Online:2010-07-20 Published:2010-07-20

摘要: 介绍一种使用Matlab与其他编程工具联合编程、快速将神经网络转换成实际产品的方法,阐述经典BP网络的创建、完整C代码的导出与Linux/Qt程序的结合等问题及解决方法。使用该方法可以将BP神经网络算法快速地应用到嵌入式系统或者个人PC上,具有较高的运行效率,能缩短开发周期并降低成本。

关键词: Matlab技术, Linux系统, 嵌入式系统, 神经网络

Abstract: This paper introduces a method to realize the neural network to a product fast by using Matlab and other program tools to combine programming, presents some problems and solution, such as the creation of classic BP neural network, the integrated C code exporting, and the combination with Linux/Qt programs. Using this method can deploy the BP neural network algorithm to the embedded system or personal PC, it not only has good runtime effectiveness, but also can greatly reduce the cost and development time.

Key words: Matlab technology, Linux system, embedded system, neural network

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