现代电子技术2018，Vol.41Issue(9)：41-44,4.DOI:10.16652/j.issn.1004-373x.2018.09.009
基于遗传算法优化的BP神经网络研究应用
Research and application of BP neural network based on genetic algorithm optimization
墨蒙 1赵龙章 1龚嫒雯 1吴扬1
作者信息
- 1. 南京工业大学 电气工程与控制科学学院,江苏 南京211816
- 折叠
摘要
Abstract
In order to improve the accuracy of daily rice sales forecast in the supermarket by means of BP neural network forecasting model,a BP neural network prediction method based on genetic algorithm optimization is proposed. The characteris?tics and defects of BP neural network and genetic algorithm are introduced. The relevant technology combining BP neural net?work and genetic algorithm is studied. The genetic algorithm is used to optimize the weight and threshold of BP neural network, and train the BP neural network prediction model to obtain the optimal solution. The advantages of the local search ability of BP neural network and global search ability of genetic algorithm are fully displayed. The simulation results show that the method has higher accuracy and better non?linear fitting ability for daily rice sales forecast in the supermarket.关键词
人工神经网络/BP神经网络/遗传算法/GA⁃BP神经网络/优化方法/搜索能力Key words
artificial neural network/BP neural network/genetic algorithm/GA⁃BP neural network/optimization method/search ability分类
信息技术与安全科学引用本文复制引用
墨蒙,赵龙章,龚嫒雯,吴扬..基于遗传算法优化的BP神经网络研究应用[J].现代电子技术,2018,41(9):41-44,4.
