<div xmlns="http://www.w3.org/1999/xhtml">Erratum to:<bold>GEOCHRONOMETRIA 42 (2015): 189–201,</bold>KOHONEN ARTIFICIAL NEURAL NETWORKS AND THE IndVal INDEX AS SUPPLEMENTARY TOOLS FOR THE QUANTITATIVE ANALYSIS OF PALAEOECOLOGICAL DATA DOI 10.1515/geochr-2015-0021The online version of the original article can be found at: <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="http://dx.doi.org/10.1515/geochr-2015-0021">http://dx.doi.org/10.1515/geochr-2015-0021</ext-link>Due to the unwitting but undoubted fault of the first and third authors, important people and institutions were omitted from our Acknowledgements. We are very grateful to Dr. Milena Obremska from Warsaw Research Center for providing unpublished palynological data (cited in the paper). This research was made possible by the support of the Institute of Geological Sciences Polish Academy of Science (ING PAN). Last but not least, we wish to express our gratitude to Professor Jacek Forysiak and Dr. Michał Słowiński for their important contribution to Rabien mire studies used in this paper. The first and third authors sincerely apologise for this omission.</div>

Kohonen artificial neural networks and the IndVal index as supplementary tools for the quantitative analysis of palaeoecological data

Department of Invertebrate Zoology and Hydrobiology

Faculty of Biology and Environmental Protection, University of Łódź

Department of Ecology and Vertebrate Zoology

Faculty of Biology and Environmental Protection, University of Łòdź

Geochronometria

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Kohonen artificial neural networks and the IndVal index as supplementary tools for the quantitative analysis of palaeoecological data

Published Online: May 02, 2017

Page range: 111 - 111

DOI: https://doi.org/10.1515/geochr-2015-0036

© 2016 M. Płuciennik.

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.