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.

Files

Steps to reproduce

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

Institutions

Australian National University Ageing Research Unit, Universidad Nacional de Cuyo Facultad de Ingenieria

Categories

Global Supply Chain

Licence