An Improving Data Stream Classification Algorithm Based on BP Neural Network

被引：1

作者：

Zhang, Baoju ^{[1
]}

Wang, Guilin ^{[1
]}

Xue, Lei ^{[1
]}

机构：

[1] Tianjin Normal Univ, Tianjin Key Lab Wireless Mobile Commun & Power Tr, Tianjin 300387, Peoples R China

来源：

COMMUNICATIONS, SIGNAL PROCESSING, AND SYSTEMS, CSPS 2018, VOL III: SYSTEMS | 2020年 / 517卷

基金：

中国国家自然科学基金;

关键词：

Data stream; Classification; BP neural networks;

D O I：

10.1007/978-981-13-6508-9_19

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

With the continuous development of science and technology, many application fields of data belong to the data stream type. Data stream classification is one of the most important analysis methods of data stream processing. The neural network algorithms have no complicated models and reasoning, and have great advantages in data stream classification. In this paper, data stream classification, neural network algorithm, and improved BP neural network algorithm are studied. The neural network toolbox provided by MATLAB is used for data stream classification and simulation.

引用

页码：145 / 153

页数：9

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