Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)

Multi-parameter Grain Analysis Model based on BP Neural Network

Authors
Yufeng Zhuang, Runfa Lu
Corresponding Author
Yufeng Zhuang
Available Online December 2018.
DOI
10.2991/tlicsc-18.2018.62How to use a DOI?
Keywords
Neural Networks; Grain situation analysis; Multi-parameter grain situation.
Abstract

During the process of grain storage, changes in seasons and weather will cause changes in the temperature and humidity of the granary, which will affect the occurrence of pests in the grain pile and the possibility of condensation, leading to problems such as grain deterioration and water loss. In this paper, based on the Bp neural network model, parameters such as temperature, humidity, moisture, warehouse temperature and warehouse moisture are used as input factors of the model to construct a multi-parameter grain analysis model. Through comparative analysis, the model optimization parameters are selected, and the trained neural network model is convenient for food administrators to obtain food storage status more intuitively.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
Series
Advances in Intelligent Systems Research
Publication Date
December 2018
ISBN
10.2991/tlicsc-18.2018.62
ISSN
1951-6851
DOI
10.2991/tlicsc-18.2018.62How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yufeng Zhuang
AU  - Runfa Lu
PY  - 2018/12
DA  - 2018/12
TI  - Multi-parameter Grain Analysis Model based on BP Neural Network
BT  - Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
PB  - Atlantis Press
SP  - 387
EP  - 392
SN  - 1951-6851
UR  - https://doi.org/10.2991/tlicsc-18.2018.62
DO  - 10.2991/tlicsc-18.2018.62
ID  - Zhuang2018/12
ER  -