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  • 标题:EVALUATION ON THE ECOTOURISM RESOURCES OF TRADITIONAL VILLAGES FROM THE PERSPECTIVE OF ARTIFICIAL NEURAL NETWORK: A CASE STUDY IN HUNAN PROVINCE, CHINA
  • 本地全文:下载
  • 作者:Chengjun Tang ; Shaoyao He ; Wei Zhang
  • 期刊名称:Fresenius Environmental Bulletin
  • 印刷版ISSN:1018-4619
  • 出版年度:2019
  • 卷号:28
  • 期号:5
  • 页码:3906-3916
  • 语种:English
  • 出版社:PSP Publishing
  • 摘要:Evaluation on the ecotourism resources of traditional villages can promote the sustainable development of rural tourism. Taking 10 typical traditional villages in the western part of Hunan area as research subjects, 1 decision layer, 3 criterion layers and 22 indicator layers have been established. Simulation training is conducted by adopting the rapidity and dynamics of artificial neural network in Clementine 12.0 and RBF evaluating model. In the meantime, quantitative comprehensive evaluation on the ecotourism resources of sample villages is also carried out on the basis of dynamic approach model in combined with fuzzy comprehensive evaluation approach. The result indicates that the credibility of the dynamic model in artificial neural network is higher than that of other 2 models; the overall situation of the ecotourism resources of sample villages is above the average, yet in need of further development and utilization. It is suggested to deeply explore the historical and cultural connotation implied by the ecological resources of traditional villages, improve the transportation convenience, promote infrastructure construction; strengthen propaganda as well as to systemically integrate the regional resources, so as to further upgrade the availability of the ecotourism resources of traditional villages, take control of the reasonable degree of protection and development of the ecotourism resources in the western Hunan area, and boost the economic sustainable development.
  • 关键词:Ecotourism resources;artificial neural network;clementine data-mining;evaluating indicator;traditional village;sustainable development
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