Hostname: page-component-78c5997874-dh8gc Total loading time: 0 Render date: 2024-11-11T03:49:37.339Z Has data issue: false hasContentIssue false

Feature extraction and artificial neural networks for the on-the-fly classification of high-dimensional thermochemical spaces in adaptive-chemistry simulations – ERRATUM

Published online by Cambridge University Press:  21 May 2021

Abstract

Type
Erratum
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2021. Published by Cambridge University Press

During the typesetting process, errors were introduced into Equations 13 and 14. The publishers apologise for this error that does not impact the results of the paper. The correct version of the equations are:

(13)$$ {\sigma}_i\left(\mathbf{z}\right)\hskip0.5em =\hskip0.5em \frac{e^{z_i}}{\sum_{\hskip0pt j = 1}^k{e}^{z_j}} $$
(14)$$ {\displaystyle \begin{array}{ccc}t& =& \frac{\sum_{i = 1}^q{\lambda}_i}{\sum_{\hskip0pt j = 1}^p{\lambda}_j}\end{array}}. $$

References

D’Alessio, G., Cuoci, A., & Parente, A. (2021). Feature extraction and artificial neural networks for the on-the-fly classification of high-dimensional thermochemical spaces in adaptive-chemistry simulations. Data-Centric Engineering, 2, E2. doi:10.1017/dce.2021.2CrossRefGoogle Scholar
Submit a response

Comments

No Comments have been published for this article.