近年來國人休閒意識不斷的提升，國際觀光旅館的需求亦大幅增加，本文之目的主要是瞭解台灣觀光旅館轉變爲國際觀光旅館的過程，預測其時空變遷狀況，並建立未來發展的需求模式；本文以類神經網路模式將1980年至1998年之問國際觀光旅館客房數的變化情形，以11項相關因素進行預測，首先將全台以無隱藏層、一層隱藏層和二層隱藏層分別進行預測，並選擇觀察值與預測值較佳的模式，其次以北、中、南、東四區將一般觀光旅館變化對國際觀光旅館變化情形進行預測，比較台灣全區和分區的預測結果，以探討國際觀光旅館區域的時空變遷及其差異。
This paper aims to forecast the space distribution of International Tourist Hotel. The Neural Network Model is applied to find out the changes of the number of rooms in ITH from 1980 to 1998, and the eleven related phase items is applied to proceed such forecast. First, it is forecasted in zero-hidden layer one-hidden layer and two-hidden layer respectively, then selects a model with both better observation and forecast values. In addition, the forecasts of the changes between Community Tourist Hotel and International Tourist Hotel in the sections for north, central, south, and east is conducted to evaluate the future development.
