ABSTRACT
Wang, Y., 2019. Medium- and long-term predictions for coastal economies based on support vector regression. In: Li, L.; Wan, X., and Huang, X. (eds.), Recent Developments in Practices and Research on Coastal Regions: Transportation, Environment and Economy. Journal of Coastal Research, Special Issue No. 98, pp. 71–74. Coconut Creek (Florida), ISSN 0749-0208.
In this article, we analyze the characteristics of coastal economic development as well as the characteristics of mid- to long-term economic forecasts, expound on the existing shortcomings of current economic forecasting methods, and point out that, because of the high degree of nonlinearity, coupling, and time varying in the coastal economic system, the existing economic forecasting method is not competent. In addition, we analyze the support vector regression algorithm, and on that basis, put forward an idea for medium- and long-term predictions about the coastal economy based on support vector regression and establish a corresponding mathematical model. Jiangmen City, Guangdong Province, China, is used as an application object to show the validity of the model.
