【摘 要】
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How to get a both scientific and applicable forecasting model is an important issue of tourism demand study.The paper intends to introduce a new model named adaptive network based fuzzy inference syst
【机 构】
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College of Geography and Environment Science,Northwest Normal University,Lanzhou 730070,Gansu,China
【出 处】
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第4届中日韩地理学家学术研讨会暨第12次全国青年地理工作者学术研讨会
论文部分内容阅读
How to get a both scientific and applicable forecasting model is an important issue of tourism demand study.The paper intends to introduce a new model named adaptive network based fuzzy inference system (ANFIS) to enrich the framework of tourism forecasting.Japanese tourist volume and tourism foreign exchange earnings of china are taken as indices of tourism demand to establish and verify the power of the model.The results compared with some traditional models show us proofs of advantage that ANFIS needs less independent variable,outperforms in terms of forecasting accuracy and fits well with practices.ANFIS is an effective model and provides us with theory support and advices for management practice.
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