Prediction of Developing Modern Agriculture Demands for the Agricultural Scientific Research Institutions Services Based on BP Artificial Neural Network
BP artificial neural network model is used to predict developing modern agriculture demands for the agricultural scientific research institutions services. Starting from the brief introduction of the usages of BP neural network, we analyzed the demand factors of the agricultural scientific research...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
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EDP Sciences
2019-01-01
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Series: | E3S Web of Conferences |
Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/57/e3sconf_chinabiofilms18_01122.pdf |
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author | Sun Hongyan Bi Hongwen Wang Jingyuan Zhang Yu Wang Yanqi Yu Zhigang Yang Xiuli Chai Yongshan |
author_facet | Sun Hongyan Bi Hongwen Wang Jingyuan Zhang Yu Wang Yanqi Yu Zhigang Yang Xiuli Chai Yongshan |
author_sort | Sun Hongyan |
collection | DOAJ |
description | BP artificial neural network model is used to predict developing modern agriculture demands for the agricultural scientific research institutions services. Starting from the brief introduction of the usages of BP neural network, we analyzed the demand factors of the agricultural scientific research institutions services and the affective elements of the demands, use the BP neural network model to predict, and then run the BP neural network model on the MATLAB platform, and finally carry out the case studies of Heilongjiang Province. |
first_indexed | 2024-12-14T15:36:30Z |
format | Article |
id | doaj.art-2b099798e760414f87f443737cd9a49a |
institution | Directory Open Access Journal |
issn | 2267-1242 |
language | English |
last_indexed | 2024-12-14T15:36:30Z |
publishDate | 2019-01-01 |
publisher | EDP Sciences |
record_format | Article |
series | E3S Web of Conferences |
spelling | doaj.art-2b099798e760414f87f443737cd9a49a2022-12-21T22:55:42ZengEDP SciencesE3S Web of Conferences2267-12422019-01-011310112210.1051/e3sconf/201913101122e3sconf_chinabiofilms18_01122Prediction of Developing Modern Agriculture Demands for the Agricultural Scientific Research Institutions Services Based on BP Artificial Neural NetworkSun Hongyan0Bi Hongwen1Wang Jingyuan2Zhang Yu3Wang Yanqi4Yu Zhigang5Yang Xiuli6Chai Yongshan7Research Institute of Remote Sensing and Information, Heilongjiang Academy of Agricultural SciencesResearch Institute of Remote Sensing and Information, Heilongjiang Academy of Agricultural SciencesResearch Institute of Remote Sensing and Information, Heilongjiang Academy of Agricultural SciencesResearch Institute of Remote Sensing and Information, Heilongjiang Academy of Agricultural SciencesNortheast Agricultural UniversityNortheast Agricultural UniversityNortheast Agricultural UniversityNortheast Agricultural UniversityBP artificial neural network model is used to predict developing modern agriculture demands for the agricultural scientific research institutions services. Starting from the brief introduction of the usages of BP neural network, we analyzed the demand factors of the agricultural scientific research institutions services and the affective elements of the demands, use the BP neural network model to predict, and then run the BP neural network model on the MATLAB platform, and finally carry out the case studies of Heilongjiang Province.https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/57/e3sconf_chinabiofilms18_01122.pdf |
spellingShingle | Sun Hongyan Bi Hongwen Wang Jingyuan Zhang Yu Wang Yanqi Yu Zhigang Yang Xiuli Chai Yongshan Prediction of Developing Modern Agriculture Demands for the Agricultural Scientific Research Institutions Services Based on BP Artificial Neural Network E3S Web of Conferences |
title | Prediction of Developing Modern Agriculture Demands for the Agricultural Scientific Research Institutions Services Based on BP Artificial Neural Network |
title_full | Prediction of Developing Modern Agriculture Demands for the Agricultural Scientific Research Institutions Services Based on BP Artificial Neural Network |
title_fullStr | Prediction of Developing Modern Agriculture Demands for the Agricultural Scientific Research Institutions Services Based on BP Artificial Neural Network |
title_full_unstemmed | Prediction of Developing Modern Agriculture Demands for the Agricultural Scientific Research Institutions Services Based on BP Artificial Neural Network |
title_short | Prediction of Developing Modern Agriculture Demands for the Agricultural Scientific Research Institutions Services Based on BP Artificial Neural Network |
title_sort | prediction of developing modern agriculture demands for the agricultural scientific research institutions services based on bp artificial neural network |
url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/57/e3sconf_chinabiofilms18_01122.pdf |
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