The Study of Forecasting Models for the Visitor Arrivals Demand in Taiwan
碩士 === 朝陽科技大學 === 休閒事業管理系碩士班 === 94 === In this study, five methods such as single exponential smoothing、H-W exponential smoothing、Fourier series analysis、ARIMA model and Artificial Neural Network were used to establish the Forecasting Models for the Visitor Arrivals in Taiwan. By using the MAPE、RMS...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2006
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Online Access: | http://ndltd.ncl.edu.tw/handle/372g8j |