A Hybrid Econometric-AI Ensemble Learning Model for Chinese Foreign Trade Prediction-Reference-Cited by-同舟云学术

A Hybrid Econometric-AI Ensemble Learning Model for Chinese Foreign Trade Prediction

Published:2007 Issue: Volume: Page:106-113
ISSN:0302-9743
Container-title:Computational Science – ICCS 2007
language:
Short-container-title:

Author:

Yu Lean,Wang Shouyang,Lai Kin Keung

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-72590-9_14

Reference9 articles.

1. China’s Future. Fortune. (September 29, 1999)

2. Center of China Study: Development, Cooperation, Reciprocal and Mutual Benefit: The Evaluation of International Monetary Fund on Chinese Loan (1981-2002). Research Report (2004)

3. Engle, R.F., Granger, C.W.J.: Co-integration and Error-correction: Representation, Estimation and Testing. Econometrica 55, 251–276 (1987)

4. Hendry, D.F., Ericsson, N.R.: An Econometric Analysis of U.K Money Demand in Monetary Trends in the United States and the United Kingdom by Milton Friedman and Anna J. Schwartz. American Economic Review 81, 8–38 (1991)

5. Hornik, K., Stinchocombe, M., White, H.: Multilayer Feedforward Networks are Universal Approximators. Neural Networks 2, 359–366 (1989)

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An examination of machine learning to map non‐preference based patient reported outcome measures to health state utility values;Health Economics;2022-06-15

2. Considering seasonal fluctuations on balancing time series with the use of artificial neural networks when forecasting US imports from the PRC;SHS Web of Conferences;2020

3. Forecasting China’s Foreign Trade Volume with a Kernel-Based Hybrid Econometric-Ai Ensemble Learning Approach;Journal of Systems Science and Complexity;2008-03