An analysis on the mathematical model estimating the ability of Mountain tourism to increase the farmersincomes
This paper mainly studies the mathematical model estimating the ability of mountain tourism to enhance the farmers income.Currently, more and more factors influence the farmers income, so it is difficult to estimate the income in fixed time.As a statistic model, the traditional model cannot achieve accurate estimation because of the relatively fixed attribute weight.Therefore, this paper proposes a RBF neural network-based estimating model for the ability of mountain tourism to increase the farmers income.The experimental results show that the proposed algorithm can effectively improve the accuracy of the estimation thus provide an accurate basis for Agriculture-related decision-making.
mountain tourism farmers incomes income estimation
YUAN Zhi-hui
Institute of Agricultural Economics and Development,the Chinese Academy of Agricultural Sciences,Beijing,100081,China;School of Economics and Management,Hainan University,Haikou,570228,China
国际会议
2013 International Conference on Innovation, Management and Technology Research(2013年创新、管理与技术研究国际会议)
太原
英文
235-238
2013-11-16(万方平台首次上网日期,不代表论文的发表时间)