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A new R2-based metric to shed greater insight on variable importance in artificial neural networks

Crossref DOI link: https://doi.org/10.1016/j.ecolmodel.2015.06.034

Published Print: 2015-10

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Giam, Xingli

Olden, Julian D.
Funding

Funding for this research was provided by:

University of Washington
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Text and Data Mining valid from 2015-10-01
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This article is maintained by: Elsevier

Article Title: A new R2-based metric to shed greater insight on variable importance in artificial neural networks

Journal Title: Ecological Modelling

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.ecolmodel.2015.06.034

Content Type: simple-article

Copyright: Published by Elsevier B.V.