Network Traffic Prediction Based on the Multi-Time Granularity GRU-BP Neural Network-Reference-Cited by-同舟云学术

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Network Traffic Prediction Based on the Multi-Time Granularity GRU-BP Neural Network

Published:2024 Issue: Volume:12 Page:96997-97003
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Shubo Shubo¹^ORCID,Haipeng Haipeng¹^ORCID

Affiliation:

1. School of Intelligent Manufacturing, Jiangsu College of Engineering and Technology, Nantong, China

Funder

Natural Science Research Projects of Jiangsu Province

Basic Science Research Project of Nantong

Natural Science Research Foundation of JCET

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10596132.pdf?arnumber=10596132

Reference32 articles.

1. Technologies for 5G Networks: Challenges and Opportunities

2. Energy-efficient 5G for a greener future

3. Analysis the Efficient Energy Prediction for 5G Wireless Communication Technologies

4. Improved hybrid sparrow search algorithm for an extreme learning machine neural network for short‐term photovoltaic power prediction in 5G energy‐routing base stations

5. A review of network traffic analysis and prediction techniques;Joshi;arXiv:1507.05722,2015

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