摘要
我国高尔夫产业已有20多年的发展历史,在经济高速增长与高尔夫旅游业快速发展的刺激下,我国高尔夫产业已初具规模。文章基于机器学习的随机森林算法,对影响我国高尔夫产业发展的因素进行分析与探讨。结果表明,首先是固定资产投资规模对高尔夫产业的发展影响最大,其次是影响高尔夫产业发展的是国内生产总值、旅游消费和旅游人数,居民消费水平和第三产业增加值对于高尔夫球场数量的影响程度较小。
It has been more than 20 years for modern golf in China.With the rapid development of economiy and golf tourism industry,China＇s golf market grows quickly.Based on random forest machine learning algorithm,the influence of different factors which may impact the development of China＇s golf industry was analyzed.Results show that the scale of investment in fixed assets has the greatest impact,followed by gross domestic product,tourism consumption and the number of tourists.The last are consumption level and the tertiary industry.
出处
《天津大学学报（社会科学版）》
CSSCI
2011年第3期198-201,共4页
Journal of Tianjin University：Social Sciences
关键词
随机森林算法
高尔夫产业
影响因素
random forest algorithm
golf industry
influence factors
