|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
標(biāo)題 |
旅游需求預(yù)測(cè)模型研究(28 卷) |
英文標(biāo)題 |
Research on Forecasting Model of Tour Demand |
摘要 |
建立基于月度數(shù)據(jù)的桂林漓江旅游航班、運(yùn)量及游客的需求預(yù)測(cè)模型,運(yùn)用指數(shù)平滑、SARIMA和Elman人工神經(jīng)網(wǎng)絡(luò)3種方法,并采用平均絕對(duì)誤差(MAE)、均方百分比誤差(RMSE)和平均絕對(duì)百分比誤差(MAPE)評(píng)價(jià)模型預(yù)測(cè)效果。預(yù)測(cè)實(shí)例表明Elman人工神經(jīng)網(wǎng)絡(luò)模型更能反映時(shí)間序列 |
作者 |
新聞作者:覃頻頻1,陸凱平2,牙韓高3 |
關(guān)鍵字 |