Prediction Model for the Stored-Grain Situation Risk Point Based on Broad Learning Network-Reference-Cited by-同舟云学术

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Prediction Model for the Stored-Grain Situation Risk Point Based on Broad Learning Network

Published:2023 Issue: Volume:11 Page:82037-82049
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Feiyu Lian¹^ORCID,Yao Qin¹,Maixia Fu¹^ORCID

Affiliation:

1. Key Laboratory of Grain Information Processing and Control, Ministry of Education, Henan University of Technology, Zhengzhou, China

Funder

Open Fund of the Key Laboratory of Grain Information Processing and Control

Key Scientific Research Project Program of Universities of Henan Province

Henan Province Colleges and Universities Young Backbone Teacher Funding Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10198425.pdf?arnumber=10198425

Reference38 articles.

1. Cascade broad learning for multi-modal material recognition;wang;IEEE Trans Intell Syst,2020

2. Driver attention prediction based on convolution and transformers

3. Research of broad learning system;ren;Appl Res Comput,2021

4. Attention is all you need;vaswani;arXiv 1706 03762,2017

5. Multi-modal information fusion based on broad learning method;jia;IEEE Trans Intell Syst,2019

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Temperature Forecasting of Grain in Storage: An Improved Approach Based on Broad Learning Network;IEEE Access;2024

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