Feature Compression Based BP Neural Network for IoT Performance Prediction-Reference-Cited by-同舟云学术

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Feature Compression Based BP Neural Network for IoT Performance Prediction

Published:2023-10-12 Issue: Volume: Page:01-06
ISSN:
Container-title:2023 IEEE 9th World Forum on Internet of Things (WF-IoT)
language:
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Author:

Zhao Ziru¹,Xu Yanhong¹,Li Zhao¹,Chang Zhixian²,Liu Jia³

Affiliation:

1. School of Cyber Engineering, Xidian University,Xi'an,China

2. School of Commun. and Inf. Eng. & School of Artificial Intel., Xi'an University of Posts & Telecommun,Xi'an,China

3. National Institute of Informatics,Center for Strategic Cyber Resilience Research and Development,Tokyo,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10539362/10539375/10539429.pdf?arnumber=10539429

Reference8 articles.

1. Downlink Throughput Prediction in LTE Cellular Networks Using Time Series Forecasting

2. An End-to-End Trainable Feature Selection-Forecasting Architecture Targeted at the Internet of Things

3. Deep learning

4. Infinite Feature Selection: A Graph-based Feature Filtering Approach

5. Feature selection for distance-based regression: An umbrella review and a one-shot wrapper

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