Open Access
Issue |
SHS Web Conf.
Volume 154, 2023
2022 International Conference on Public Service, Economic Management and Sustainable Development (PESD 2022)
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Article Number | 03025 | |
Number of page(s) | 4 | |
Section | 3. Low Carbon Economy and Sustainable Development Research | |
DOI | https://doi.org/10.1051/shsconf/202315403025 | |
Published online | 11 January 2023 |
- Y.Huang. China’s export forecast based on quantile diffusion index autoregressive model. Lanzhou University[D],2022 [Google Scholar]
- Wang, PL. Time series analysis of China’s service trade based on ARIMA model, International Conference on Economics,Finance and Statistics(ICEFS), JAN 14-15, 2017 [Google Scholar]
- Z.Li.ARIMA quarterly model of China’s international trade imports[C],Beijing,2016. [Google Scholar]
- M.Mei. The Reasearch about the Potential of Oil Trade between China and Africa, Ocean University of China[D],2015. [Google Scholar]
- J. Jiu. Time Series Analysis of China’s Customs Import and Export Commodity Value Based on ARIMA Product Season Model[J]. Technology and Market,2011,18 (07):8-11+13. [Google Scholar]
- H.Shen. Forecast of China’s foreign trade import and export based on ARIMA model: 2006-2010, Journal of International Trade[J], 2007(06),pp24-26. [Google Scholar]
- Q.Wang and H.Guan. An Empirical Study on the Time Series SARIMA Model of China’s Total Imports and Exports, Economic Forum[J],2018(12),pp78-83 [Google Scholar]
- C.Wang and W.Zhou. Research on Grey Modeling Method of Import and Export Trade Volume Forecast[J].Industrial Technology and Economics,2002(06),pp.76-77. [Google Scholar]
- X.Zhu. Application of Grey Modeling Method in Foreign Trade Forecast[J]. Securities & Futures of China,2010(06), pp.155-156 [Google Scholar]
- C.Yang and C.Liu. Application of improved GM(1,1) model in import and export trade issue[J]. Journal of Anqing Normal University (Natural Science Edition), 2016,22(04),pp.23-26 [Google Scholar]
- K.Ying, D.Lu and X.Li.A Novel Grey Wave Method for Predicting Total Chinese Trade Volume. Sustainability, 2017(9),23-67. [Google Scholar]
- Y.Ren, H.Ning and H.Deng. Improvement of Grey System Prediction Model and Analysis and Prediction of Soybean Supply and Demand. Journal of Agricultural Mechanization Research, 2007(12),20-22 [Google Scholar]
- H.Zhao and Y.Sun. Analysis of soybean market supply and demand in China based on grey prediction model. Commercial Research, 2015 (03), 58-63. [Google Scholar]
- H Xiang. Prediction of honey output and export in China based on grey system theory. Journal of Bee,2013,33(02),13-14 [Google Scholar]
- Z.Han, Z.Zhu, S.Zhao et al. Research on nonlinear forecast and influencing factors of foreign trade export based on support vector neural network. Neural Computer & Application,2022,2611-2622. [CrossRef] [Google Scholar]
- T Chen. Research on Information Analysis and Decision Method of Chongqing Import and Export Trade Based on Support Vector Machine[D],Chong Qing University,2006 [Google Scholar]
- Y.Zhen. Research on the Forecast of International Trade Development Trend Based on Support Vector Regression, Science & Technology Information, 2006 (09),210-211. [Google Scholar]
- B.Shuang. Import and Export Trade Prediction Algorithm Based on Multi-kernel Weighting RVM Model Optimized by PSO, Computer and Modernization,2014(08), 11-112+118. [Google Scholar]
- L.Xu and G.Dong. Prediction Model of International Trade Risk Based on Stochastic Time-Series Neural Network, Computational Intelligence and Neuroscience,2022. [Google Scholar]
- Z.Tian and G.Ju. Sino-Russian trade forecast based on Adaptive-Network-Based Fuzzy Inference System, Modern Business,2019(36), 70-71 [Google Scholar]
- J.Huang. Export trade Forecasting of Guangdong Province based on Neural Network model[D],Jinan University. [Google Scholar]
- S.Zhu and M.Lai. Application of the TDBPNN Model Based on Bayes’s Regularization to Forecasting China’s Foreign Trade and Evaluation, Chinese Journal of Management Science, 2005(01),2-9 [Google Scholar]
- M.Shen et al. Effective multinational trade forecasting using LSTM recurrent neural network,Expert Systems with Applications,182, 115-119. [Google Scholar]
- J Yi and H Yan. Early Predction and Warning of International Trade Risks Based on Wavelvet Decomposition and ARIMA-GRU Hybrid Model, Chinese Journal of Management Science, 1-11[2022-09-29].DOI: 10.16381/j.cnki.issn1003-207x.2021.1174. [Google Scholar]
- Y Deng. Research on China-ASEAN Import and Export Trade Volume Based on Multiple Forecast Model[D],Xiamen University. [Google Scholar]
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