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A Multivariate Neural Network Approach to Tourism Demand Forecasting

Claveria, Oscar - 2014

This study compares the performance of different Artificial Neural Networks models for tourist demand forecasting in a … multiple-output framework. We test the forecasting accuracy of three different types of architectures: a multi-layer perceptron … international tourism demand to Catalonia (Spain) from 2001 to 2012. By means of cointegration analysis we find that growth rates of …

Persistent link: https://www.econbiz.de/10013045969

Daily retail demand forecasting using machine learning with emphasis on calendric special days

Huber, Jakob; Stuckenschmidt, Heiner - In: International journal of forecasting 36 (2020) 4, pp. 1420-1438

Persistent link: https://www.econbiz.de/10012546798

International tourism demand forecasting with machine learning models : the power of the number of lagged inputs

Bi, Jian-Wu; Han, Tian-Yu; Li, Hui - In: Tourism economics : the business and finance of tourism … 28 (2022) 3, pp. 621-645

Persistent link: https://www.econbiz.de/10013267939

Machine learning for demand forecasting in the physical internet : a case study of agricultural products in Thailand

Kantasa-ard, Anirut; Nouiri, Maroua; Bekrar, Abdelghani; … - In: International journal of production research 59 (2021) 24, pp. 7491-7515

Persistent link: https://www.econbiz.de/10012697551

Tourism demand forecasting by improved dynamic process neural network

Zhang, Peiyin; Dai, Bing - 2011

Persistent link: https://www.econbiz.de/10009012880

An empirical investigation of water consumption forecasting methods

Karamaziotis, Panagiotis I.; Raptis, Achilleas; … - In: International journal of forecasting 36 (2020) 2, pp. 588-606

Persistent link: https://www.econbiz.de/10012415297

DeepAR : probabilistic forecasting with autoregressive recurrent networks

Salinas, David; Flunkert, Valentin; Gasthaus, Jan; … - In: International journal of forecasting 36 (2020) 3, pp. 1181-1191

Persistent link: https://www.econbiz.de/10012498611

A big data driven framework for demand-driven forecasting with effects of marketing-mix variables

Kumar, Ajay; Shankar, Ravi; Aljohani, Naif Radi - In: Industrial marketing management : the international … 90 (2020), pp. 493-507

Persistent link: https://www.econbiz.de/10012372710

Data source combination for tourism demand forecasting

Hu, Mingming; Song, Haiyan - In: Tourism economics : the business and finance of tourism … 26 (2020) 7, pp. 1248-1265

Persistent link: https://www.econbiz.de/10012310080

Forecasting tourism demand using search query data : a hybrid modelling approach

Wen, Long; Liu, Chang; Song, Haiyan - In: Tourism economics : the business and finance of tourism … 25 (2019) 3, pp. 309-329

Persistent link: https://www.econbiz.de/10012181972