Prediction of agricultural grey water footprint in Henan Province based on GM(1,N)-BP neural network

Author:

Li Wenyan,Li Bingjun,Ma Wenya

Funder

the Key R&D and Promotion Projects of Henan Province

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,General Environmental Science,Statistics and Probability

Reference46 articles.

1. Allocca V, Marzano E, Tramontano M et al (2018) Environmental impact of cattle grazing on a karst aquifer in the southern Apennines (Italy): quantification through the grey water footprint. Ecol Ind 93:830–837

2. Cai KX, Xia WG (2017) The abatement path of agricultural pollution in the background of supply side reform in agriculture sector. Social Sci Yunnan 6:53–57+103+185

3. Cai J, Yan Q (2018) Measurement and GM(1, 1) prediction of grey water footprint in Gansu Province under “The belt and road” initiative. J Irrigation Drainage 37:115–121

4. Cai J, Yan Q, Wang Y (2018) The evaluation on water footprint and performance for potato production in Gansu Province—based on an empirical forecast study of GM(1,1) model. J Agric Mech Res 40:1–7

5. Cheng P, Chen D, Wang J (2021) Research on underwear pressure prediction based on improved GA-BP algorithm. Int J Cloth Sci Technol 33:619–642

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