Hybrid machine learning methods for demand forecasting: consecutive application of classification and regression methods for the forecasting of periodic and non-continuous demand.
Víctor Álvarez-LópezB. Rosario Campomanes ÁlvarezPelayo QuirósPublished in: APPIS (2019)
Keyphrases
- demand forecasting
- regression methods
- historical data
- exponential smoothing
- forecasting accuracy
- regression model
- classification accuracy
- supply chain
- regression method
- pattern recognition
- feature vectors
- support vector machine
- support vector machine svm
- training data
- linear regression
- feature selection
- feature space