Traffic Forecasting of Core Network Based on Improved Logistic Regression-Reference-Cited by-同舟云学术

Traffic Forecasting of Core Network Based on Improved Logistic Regression

Published:2021-11-25 Issue: Volume: Page:
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Container-title:2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN)
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Author:

Xin Song¹,Yuanbiao Xue²,Qijia Zhang³,Zhimao Lai⁴,Renhai Feng²

Affiliation:

1. Baoding Preschool Teachers College,Baoding,China

2. Tianjin University,School of Electrical Automation and Information Engineering,Tianjin,China

3. State Grid Tianjin Information & Telecommunication Company,Tianjin,China

4. Chinese People's Police University,Guangzhou,China

Funder

Research and Development

State Grid Jiangsu Electric Power

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9673704/9673809/09673983.pdf?arnumber=9673983

Reference14 articles.

1. An analysis of the combined wavelet-GM (1,1) model for network traffic forecasting

2. A nn-gm (1,1) model - based analysis of network traffic forecasting;bai;2010 3rd IEEE International Conference on Broad-band Network and Multimedia Technology (IC-BNMT),2010

3. Prediction Modelling of COVID-19 Outbreak in Indonesia using a Logistic Regression Model

4. Growing green? Forecasting CO2 emissions with Environmental Kuznets Curves and Logistic Growth Models

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