Global Wine Statistics Trained Neural Net

Published: 11 Feb 2020 | Version 1 | DOI: 10.17632/k5sn5ydbmc.1
Contributor(s):

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 rpalma@uncu.edu.ar 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.

Latest version

  • Version 1

    2020-02-11

    Published: 2020-02-11

    DOI: 10.17632/k5sn5ydbmc.1

    Cite this dataset

    Palma, Ricardo R. (2020), “Global Wine Statistics Trained Neural Net”, Mendeley Data, v1 http://dx.doi.org/10.17632/k5sn5ydbmc.1

Statistics

Views: 11
Downloads: 1

Institutions

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

Categories

Global Supply Chain

Licence

CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?
You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

Report