Prediction of Agricultural Gross Domestic Product Proportion in Shixing County Based on GM (1,1) Model

Author:

Liu Lidong1ORCID,He Yantao1ORCID,Liu Sijia2ORCID,Liu Suping1ORCID,Luo Yongbin1ORCID,Hu Jiajia1ORCID,Liu Yuan1ORCID,Zhou Keer1ORCID

Affiliation:

1. Department of Computer Science, Guangdong University of Science and Technology, China

2. School of Mechanical Engineering, Hunan University of Science and Technology, China

Publisher

ACM

Reference6 articles.

1. Machine Learning based Prediction of GDP using FAO Agricultural Data Set for Hungary

2. Prediction of agricultural gross domestic product in Thailand using data mining;Udomsin W.;Biomedical and Applied Technology Journal,2014

3. Qiu, Z. 2022. An Elastic Net Based Algorithm for China Agriculture GDP Prediction. In 2022 International Conference on Economics, Smart Finance and Contemporary Trade (ESFCT 2022) .843-849. Atlantis Press.

4. Ou S. L. 2012. Forecasting agricultural output with an improved grey forecasting model based on the genetic algorithm. Computers and electronics in agriculture 85 33-39.

5. Jie-fang, L., Si-feng, L., & Zhi-geng, F. 2013. Predict China's per capita GDP based on ending-point optimized discrete grey (1, 1) model. In Proceedings of 2013 IEEE International Conference on Grey systems and Intelligent Services (GSIS). 113-117.

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