Artificial Neural Networks for Bottled Water Demand Forecasting: A Small Business Case Study.
Israel David Herrera-GrandaJoselyn A. Chicaiza-IpialesErick P. Herrera-GrandaLeandro Leonardo Lorente-LeyvaJorge A. Caraguay-ProcelIván D. García-SantillánDiego Hernán Peluffo-OrdóñezPublished in: IWANN (2) (2019)
Keyphrases
- demand forecasting
- artificial neural networks
- case study
- water resources
- business process
- neural network
- business processes
- historical data
- exponential smoothing
- real world
- supply chain
- business models
- computational intelligence
- neural network model
- water quality
- multilayer perceptron
- databases
- forecasting accuracy
- variable selection
- long term
- radial basis function
- data analysis
- back propagation
- management system