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NNPF : Neural Network Particle Filter for time series data

Peerlings, Dewi; Brakel, Jan A. van den; Baştürk, Nalan - 2024

Persistent link: https://www.econbiz.de/10014524761

An investigation into the use of combined linear and neural network models for time series data / A.S. Kruger.

Kruger, Albertus Stephanus - 2009

Time series forecasting is an important area of forecasting in which past observations of the same variable are collected and analyzed to develop a model describing the underlying relationship. The model is then used to extrapolate the time series into the future. This modeling approach is...

Persistent link: https://www.econbiz.de/10009455926

Cash demand forecasting in ATMs by clustering and neural networks

Venkatesh, Kamini; Ravi, Vadlamani; Prinzie, Anita; Van … - In: European journal of operational research : EJOR 232 (2014) 2, pp. 383-392

Persistent link: https://www.econbiz.de/10010224693

Modelling volatility and forecasting of exchange rate of British pound sterling and Indian rupee

Gupta, Sanjeev; Kashyap, Sachin - In: Journal of modelling in management 11 (2016) 2, pp. 389-404

Persistent link: https://www.econbiz.de/10011529491

A novel approach to model selection in tourism demand modeling

Akın, Melda - In: Tourism management : research, policies, practice 48 (2015), pp. 64-73

Persistent link: https://www.econbiz.de/10010508442

U-Convolutional model for spatio-temporal wind speed forecasting

Bastos, Bruno Quaresma; Oliveira, Fernando Luiz Cyrino; … - In: International journal of forecasting 37 (2021) 2, pp. 949-970

Persistent link: https://www.econbiz.de/10012794764

Investigating the accuracy of cross-learning time series forecasting methods

Semenoglou, Artemios-Anargyros; Spiliotis, Evangelos; … - In: International journal of forecasting 37 (2021) 3, pp. 1072-1084

Persistent link: https://www.econbiz.de/10012794805

Comparison of the accuracy in VaR forecasting for commodities using different methods of combining forecasts

Lis, Szymon; Chlebus, Marcin - 2021

Persistent link: https://www.econbiz.de/10012795166

A brief history of forecasting competitions

Hyndman, Rob J. - In: International journal of forecasting 36 (2020) 1, pp. 7-14

Persistent link: https://www.econbiz.de/10012405521

Exploring the suitability of support vector regression and radial basis function approximation to forecast sales of Fortune 500 companies

Evangelista, Vivian M.; Regis, Rommel G. - In: Advances in business and management forecasting 13 (2019), pp. 3-23

Persistent link: https://www.econbiz.de/10012154869