Global Wine Statistics Trained Neural Net
Description of this data
Dataset created by K. Anderson et al from Adelaide Univresity - Australy, used in some experiments for Industrial Data Analytics on University of Cuyo - Mendoza Argentina.
All the algortims used for the prospective of world wine scenary are based in Professor Andersen dataset.
See more about de dataset and trained neural netowrk on: A model of the world’s wine marketsGlyn Wittwera, Nick Bergerb, Kym Anderson "Centre for International Economic Studies, University of Australy, Adelaide . Call to email@example.com if you need this dataset un R-Cran format. You can also get the trained neural net for harvest forecast.
Experiment data files
Steps to reproduce
This work is in a early steps. Use the forecast carefully. Help us to improve the results.
Cite this dataset
Palma, Ricardo R. (2020), “Global Wine Statistics Trained Neural Net”, Mendeley Data, v1 http://dx.doi.org/10.17632/k5sn5ydbmc.1
The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.