An Improved BP Neural Network in Internet of Things Data Classification Application Research

摘要：

　　For the problem that traditional BP neural network exists slow convergence,easy to fall into local minimum value which will restrict the application of BP neural network in the Internet of Things(IOT),this paper proposes an improved BP algorithm which integrates into variable learning rate.In order to verify the effectiveness of the improved algorithm,the paper makes use of neural networks toolkit and GUI interface to classify collected data experiment based on MATLAB environment.Experimental result shows that the algorithm has better data classification performance.

关键词： BP Neural Network Internet of Things(IOT) Data Classification

作者: Feng WANG Lei NIU

作者单位: School of Computer and Information Engineering Fu Yang Teachers College Fuyang,China

会议类型: 国际会议

会议名称: 2016IEEE第二届信息技术、网络、电子及自动化控制会议

会议地点: 重庆

会议语种:英文

页码: 805-808

在线出版日期: 2016-03-20（万方平台首次上网日期，不代表论文的发表时间）