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. 2021 Feb 27;44(6):1301–1308. doi: 10.1007/s00449-021-02529-3

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© The Author(s) 2021

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 2 — ANN Models Quality Distribution A quantile box plot of the ANNs is shown. The optimized ANN is highlighted with diagonal hatches. The goal was to maximize R² Training and minimize the other outputs. We can see that our optimized ANN performs in the highest category for each quality metric. Figure 2 was created in JMP Pro 14. Data available in online resource 3