无线互联科技2024,Vol.21Issue(6) :71-74.

基于Qt的BP神经网络演示软件设计

Design of BP neural network demonstration software based on Qt

朱明哲 蒋培培 王随
无线互联科技2024,Vol.21Issue(6) :71-74.

基于Qt的BP神经网络演示软件设计

Design of BP neural network demonstration software based on Qt

朱明哲 1蒋培培 1王随1
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作者信息

  • 1. 中国船舶集团有限公司第七二四研究所,江苏 南京 210000
  • 折叠

摘要

BP(Back Propagation)神经网络算法是一种典型的神经网络算法,具有广泛的应用.为了直观地显示该算法训练和验证数据的完整流程,文章设计了一个基于国产化平台Qt的BP 神经网络演示软件,使用Qt自带的图形化控件来实现算法的结果演示.文章首先介绍了BP神经网络的基本原理、公式推导和工作流程,其次使用Qt实现了该算法并绘制了图形化界面,最后使用该算法对经典的鸢尾花数据集进行训练和验证,并将验证结果在界面上显示.实验验证,该软件能够支持BP 神经网络算法的算法运行与结果显示,满足软件设计的相关要求.

Abstract

BP neural network algorithm is a typical neural network algorithm,which has a wide range of applications.In order to display the complete process of training and verifying data of the algorithm intuitively,this paper designs a BP neural network demonstration software based on the localization platform Qt,and uses the graphical controller of Qt to realize result demonstration of the algorithm.Firstly,the basic principle,formula derivation and workflow of BP neural network are introduced,and then Qt is used to realize the algorithm and draw a graphical interface.Then the algorithm is used to train and verify the iris dataset,and the verification results are displayed on the interface.After experiment verification,the software can support BP neural network algorithm running and result display,and can meet the related requirements of software design.

关键词

Qt/BP神经网络/软件设计

Key words

Qt/BP neural network/software design

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出版年

2024
无线互联科技
江苏省科学技术情报研究所

无线互联科技

影响因子:0.263
ISSN:1672-6944
参考文献量8
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