| Issue |
E3S Web Conf.
Volume 131, 2019
2nd International Conference on Biofilms (ChinaBiofilms 2019)
|
|
|---|---|---|
| Article Number | 01122 | |
| Number of page(s) | 4 | |
| DOI | https://doi.org/10.1051/e3sconf/201913101122 | |
| Published online | 19 November 2019 | |
Prediction of Developing Modern Agriculture Demands for the Agricultural Scientific Research Institutions Services Based on BP Artificial Neural Network
1
Research Institute of Remote Sensing and Information, Heilongjiang Academy of Agricultural Sciences, 150030 Harbin, China
2
Northeast Agricultural University, 150086 Harbin, China
First author : Hongyan Sun: 42202119@qq.com. * Corresponding Author: Hongwen Bi.
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.
© The Authors, published by EDP Sciences, 2019
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