Exploring the suitability of support vector regression and radial basis function approximation to forecast sales of Fortune 500 companies
Year of publication: |
2019
|
---|---|
Authors: | Evangelista, Vivian M. ; Regis, Rommel G. |
Published in: |
Advances in business and management forecasting. - Bingley : Emerald, ISSN 1477-4070, ZDB-ID 1432281-X. - Vol. 13.2019, p. 3-23
|
Subject: | Machine learning | Radial basis function | Sales forecasting | Seasonal adjustment | Support vector regression | Time series | Prognoseverfahren | Forecasting model | Künstliche Intelligenz | Artificial intelligence | Regressionsanalyse | Regression analysis | Neuronale Netze | Neural networks | Zeitreihenanalyse | Time series analysis | Mustererkennung | Pattern recognition | Theorie | Theory | Absatz | Sales | Prognose | Forecast |
-
An application of support vector machines to sales forecasting under promotions
Di Pillo, Gianni, (2016)
-
Combination forecasts of tourism demand with machine learning models
Claveria, Oscar, (2016)
-
Stasinakis, Charalampos, (2016)
- More ...
-
Evangelista, Vivian M., (2019)
-
Regis, Rommel G., (2011)
-
Regis, Rommel G., (2010)
- More ...