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An Improving Data Stream Classification Algorithm Based on BP Neural Network

  • Baoju ZhangEmail author
  • Guilin Wang
  • Lei Xue
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 517)

Abstract

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.

Keywords

Data stream Classification BP neural networks 

Notes

Acknowledgements

This work is supported by Natural Youth Science Foundation of China (61501326, 61401310), the National Natural Science Foundation of China (61731006), and Natural Science Foundation of China (61271411). It is also supported by Tianjin Research Program of Application Foundation and Advanced Technology (15JCZDJC31500), and Tianjin Science Foundation (16JCYBJC16500). This work was also supported by the Tianjin Higher Education Creative Team Funds Program.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Tianjin Key Laboratory of Wireless Mobile Communications and Power TransmissionTianjin Normal UniversityTianjinChina

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