相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。A new decomposition ensemble approach for tourism demand forecasting: Evidence from major source countries in Asia-Pacific region
Chengyuan Zhang et al.
INTERNATIONAL JOURNAL OF TOURISM RESEARCH (2021)
Estimation of number of foreign visitors with ANFIS by using ABC algorithm
Dervis Karaboga et al.
SOFT COMPUTING (2020)
Ensemble machine learning: An untapped modeling paradigm for petroleum reservoir characterization
Fatai Adesina Anifowose et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2017)
Remodeling international tourism demand: Old theory and new evidence
Tarik Dogru et al.
TOURISM MANAGEMENT (2017)
Yearly, monthly and weekly seasonality of tourism demand: A decomposition analysis
Jaume Rossello et al.
TOURISM MANAGEMENT (2017)
Forecasting tourism demand with composite search index
Xin Li et al.
TOURISM MANAGEMENT (2017)
Tourism demand modelling and forecasting using data mining techniques in multivariate time series: a case study in Turkey
Selcuk Cankurt et al.
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES (2016)
Seasonal concentration of tourism demand: Decomposition analysis and marketing implications
Antonio Fernandez-Morales et al.
TOURISM MANAGEMENT (2016)
Improving the prediction of petroleum reservoir characterization with a stacked generalization ensemble model of support vector machines
Fatai Anifowose et al.
APPLIED SOFT COMPUTING (2015)
A novel approach to model selection in tourism demand modeling
Melda Akin
TOURISM MANAGEMENT (2015)
Correcting and combining time series forecasters
Paulo Renato A. Firmino et al.
NEURAL NETWORKS (2014)
A hybrid ANFIS model for business failure prediction utilizing particle swarm optimization and subtractive clustering
Mu-Yen Chen
INFORMATION SCIENCES (2013)
A least-square-driven functional networks type-2 fuzzy logic hybrid model for efficient petroleum reservoir properties prediction
Fatai Anifowose et al.
NEURAL COMPUTING & APPLICATIONS (2013)
SVM, ANFIS, regression and climate based models for reference evapotranspiration modeling using limited climatic data in a semi-arid highland environment
Hossein Tabari et al.
JOURNAL OF HYDROLOGY (2012)
Combining linear and nonlinear model in forecasting tourism demand
Kuan-Yu Chen
EXPERT SYSTEMS WITH APPLICATIONS (2011)
A novel neural network ensemble architecture for time series forecasting
Iffat A. Gheyas et al.
NEUROCOMPUTING (2011)
Fuzzy logic-driven and SVM-driven hybrid computational intelligence models applied to oil and gas reservoir characterization
Fatai Anifowose et al.
JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING (2011)
COMBINATION FORECASTS OF INTERNATIONAL TOURISM DEMAND
Shujie Shen et al.
ANNALS OF TOURISM RESEARCH (2011)
Combination of long term and short term forecasts, with application to tourism demand forecasting
Robert R. Andrawis et al.
INTERNATIONAL JOURNAL OF FORECASTING (2011)
An Adaptive Network-Based Fuzzy Inference System (ANFIS) for the prediction of stock market return: The case of the Istanbul Stock Exchange
Melek Acar Boyacioglu et al.
EXPERT SYSTEMS WITH APPLICATIONS (2010)
Forecasting tourist arrivals by using the adaptive network-based fuzzy inference system
Miao-Sheng Chen et al.
EXPERT SYSTEMS WITH APPLICATIONS (2010)
Meta-learning for time series forecasting and forecast combination
Christiane Lemke et al.
NEUROCOMPUTING (2010)
Tourism forecast combination using the CUSUM technique
Chi Kin Chan et al.
TOURISM MANAGEMENT (2010)
A decision support system for demand forecasting with artificial neural networks and neuro-fuzzy models: A comparative analysis
Tugba Efendigil et al.
EXPERT SYSTEMS WITH APPLICATIONS (2009)
An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring
Loris Nanni et al.
EXPERT SYSTEMS WITH APPLICATIONS (2009)
Tourism demand modelling and forecasting - A review of Recent research
Haiyan Song et al.
TOURISM MANAGEMENT (2008)
Tourism forecasting: To combine or not to combine?
Kevin K. F. Wong et al.
TOURISM MANAGEMENT (2007)
Comparison of ARIMA, neural networks and hybrid models in time series: tourist arrival forecasting
Atilla Aslanargun et al.
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION (2007)
Designing an artificial neural network for forecasting tourism time series
Alfonso Palmer et al.
TOURISM MANAGEMENT (2006)
Fuzzy neural identification and forecasting techniques to process experimental urban air pollution data
FC Morabito et al.
NEURAL NETWORKS (2003)
Design of an intelligent supplier relationship management system: a hybrid case based neural network approach
KL Choy et al.
EXPERT SYSTEMS WITH APPLICATIONS (2003)
Time series forecasting using a hybrid ARIMA and neural network model
GP Zhang
NEUROCOMPUTING (2003)