메뉴 건너뛰기




Volumn 32, Issue 4, 2005, Pages 1138-1141

An improved neural network model in forecasting arrivals

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; FORECASTING METHOD; TOURISM;

EID: 27744588529     PISSN: 01607383     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.annals.2005.01.002     Document Type: Article
Times cited : (99)

References (17)
  • 1
    • 0010258933 scopus 로고
    • Demand Forecasting and Estimation
    • J. Ritchie C. Goeldner, eds. Wiley New York
    • B. Archer Demand Forecasting and Estimation.In J. Ritchie C. Goeldner, eds. Travel, Tourism and Hospitality Research 1987 Wiley New York pp. 77-85
    • (1987) Travel, Tourism and Hospitality Research , pp. 77-85
    • Archer, B.1
  • 3
    • 0041813336 scopus 로고    scopus 로고
    • A Comparison of Three Different Approaches to Tourist Arrival Forecasting
    • V. Cho A Comparison of Three Different Approaches to Tourist Arrival Forecasting Tourism Management 24 2003 323-330
    • (2003) Tourism Management , vol.24 , pp. 323-330
    • Cho, V.1
  • 4
    • 0029507507 scopus 로고
    • Forecasting Tourist Arrivals in Barbados
    • G. Dharmaratne Forecasting Tourist Arrivals in Barbados Annals of Tourism Research 22 1995 804-818
    • (1995) Annals of Tourism Research , vol.22 , pp. 804-818
    • Dharmaratne, G.1
  • 5
  • 7
    • 0034057701 scopus 로고    scopus 로고
    • Back-propagation Learning in Improving the Accuracy of Neural Network-based Tourism Demand Forecasting
    • R. Law Back-propagation Learning in Improving the Accuracy of Neural Network-based Tourism Demand Forecasting Tourism Management 21 2000 331-340
    • (2000) Tourism Management , vol.21 , pp. 331-340
    • Law, R.1
  • 8
    • 0032997601 scopus 로고    scopus 로고
    • A Neural Network Model to Forecast Japanese Demand for Travel to Hong Kong
    • R. Law and N. Au A Neural Network Model to Forecast Japanese Demand for Travel to Hong Kong Tourism Management 20 1999 89-97
    • (1999) Tourism Management , vol.20 , pp. 89-97
    • Law, R.1    Au, N.2
  • 9
    • 0031407871 scopus 로고    scopus 로고
    • An Econometric Classification and Review of International Tourism Demand Models
    • C. Lim An Econometric Classification and Review of International Tourism Demand Models Tourism Economics 3 1997 69-81
    • (1997) Tourism Economics , vol.3 , pp. 69-81
    • Lim, C.1
  • 10
    • 20344388265 scopus 로고    scopus 로고
    • A Hybrid ARIMA and Support Vector Machines Model in Stock Price Forecasting
    • P. Pai and C. Lin A Hybrid ARIMA and Support Vector Machines Model in Stock Price Forecasting OMEGA: International Journal of Management Science 33 2004 497-505
    • (2004) OMEGA: International Journal of Management Science , vol.33 , pp. 497-505
    • Pai, P.1    Lin, C.2
  • 11
    • 26844470873 scopus 로고    scopus 로고
    • Using Support Vector Machines in Forecasting Production Values of Machinery Industry in Taiwan
    • in press
    • Pai P. and C. Lin 2004b Using Support Vector Machines in Forecasting Production Values of Machinery Industry in Taiwan. International Journal of Advanced Manufacturing Technology, in press.
    • (2004) International Journal of Advanced Manufacturing Technology
    • Pai, P.1    Lin, C.2
  • 12
    • 0029728751 scopus 로고    scopus 로고
    • Using a Neural Network to Forecast Visitor Behavior
    • D. Pattie and J. Snyder Using a Neural Network to Forecast Visitor Behavior Annals of Tourism Research 23 1996 151-164
    • (1996) Annals of Tourism Research , vol.23 , pp. 151-164
    • Pattie, D.1    Snyder, J.2
  • 13
    • 0001023715 scopus 로고    scopus 로고
    • Application of Support Vector Machines in Financial Time Series Forecasting
    • F. Tay and L. Cao Application of Support Vector Machines in Financial Time Series Forecasting Omega: The International Journal of Management Science 29 2001 309-317
    • (2001) Omega: The International Journal of Management Science , vol.29 , pp. 309-317
    • Tay, F.1    Cao, L.2
  • 14
    • 84887252594 scopus 로고    scopus 로고
    • Support Vector Machine for Function Approximation, Regression Estimation, and Signal Processing
    • V. Vapnik S. Golowich and A. Smola Support Vector Machine for Function Approximation, Regression Estimation, and Signal Processing Advances in Neural Information Processing Systems 9 1996 281-287
    • (1996) Advances in Neural Information Processing Systems , vol.9 , pp. 281-287
    • Vapnik, V.1    Golowich, S.2    Smola, A.3
  • 15
    • 0037255890 scopus 로고    scopus 로고
    • Three Improved Neural Network Models for Air Quality Forecasting
    • W. Wang Z. Xu and J. Lu Three Improved Neural Network Models for Air Quality Forecasting Engineering Computations 20 2003 192-210
    • (2003) Engineering Computations , vol.20 , pp. 192-210
    • Wang, W.1    Xu, Z.2    Lu, J.3
  • 17
    • 0000814809 scopus 로고    scopus 로고
    • The Relevance of Business Cycles in Forecasting International Tourist Arrivals
    • K. Wong The Relevance of Business Cycles in Forecasting International Tourist Arrivals Tourism Management 18 1997 581-586
    • (1997) Tourism Management , vol.18 , pp. 581-586
    • Wong, K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.