基于模糊神经网络的农业观光旅游竞争力评价研究

发布时间：2019-05-10 12:18

【摘要】：随着国家政策的调整,旅游产业在经济中的地位日益重要,而其中农业观光旅游又是旅游产业的新宠,各地区间的竞争也日益激烈。要深入研究农业观光旅游竞争力,首先在基于旅游评价指标体系构建的基础上,采用模糊神经网络算法构建旅游评价模型,该模型有较强的适应性,能很好对变量进行量化和描述,从而对农业观光旅游产业整体竞争力进行综合评价。结合调查的数据与模糊神经网络模型的均方差以及游客总体满意度对旅游竞争力进行实证分析,通过实证研究发现农业观光旅游产业的优势以及存在的问题并提出采取加快基础建设、加大宣传力度、加强旅游管理和区域协作等优化措施可以充分利用农业资源全面提升农业观光旅游的综合竞争力,促进经济更快的发展。
[Abstract]:With the adjustment of national policy, the position of tourism industry in the economy is becoming more and more important, and agricultural tourism is the new favorite of tourism industry, and the competition in various regions is becoming more and more fierce. In order to deeply study the competitiveness of agricultural tourism, firstly, on the basis of the construction of tourism evaluation index system, the fuzzy neural network algorithm is used to construct the tourism evaluation model, which has strong adaptability. It can quantify and describe the variables, so as to evaluate the overall competitiveness of the agricultural tourism industry. Combining the survey data with the mean square error of fuzzy neural network model and the overall satisfaction of tourists, this paper makes an empirical analysis on the competitiveness of tourism. Through empirical research, this paper finds out the advantages and existing problems of agricultural sightseeing and tourism industry, and puts forward that we should speed up infrastructure construction and increase propaganda. Strengthening tourism management and regional cooperation can make full use of agricultural resources to enhance the comprehensive competitiveness of agricultural tourism and promote faster economic development.
【作者单位】：陕西理工学院管理学院;
【基金】：国家社科基金项目“边缘地接受区域中心城市经济辐射研究”(编号:2012BJL069) 汉中市科技发展专项计划项目“协同发展视角下汉中文化旅游产业绩效评价与管理创新研究(编号:2013hzzx-14)的阶段性研究成果
【分类号】：F592;F320;TP183

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