Global Wine Statistics Trained Neural Net

Published: 11 February 2020| Version 1 | DOI: 10.17632/k5sn5ydbmc.1
Contributor:
Ricardo R Palma

Description

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 rpalma@uncu.edu.ar if you need this dataset un R-Cran format. You can also get the trained neural net for harvest forecast.

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Steps to reproduce

This work is in a early steps. Use the forecast carefully. Help us to improve the results.