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Impact on the Sustainable Development Goals (SDGs)

Analysis of institutional authors

Rius Ferrús, Francisco JavierAuthorLozano JAuthorRius FAuthor
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Modelling metabolic energy by neural networks

Publicated to:Chemometrics And Intelligent Laboratory Systems. 28 (1): 61-72 - 1995-01-01 28(1), DOI: 10.1016/0169-7439(95)80040-G

Authors: Lozano J; Novič M; Rius F; Zupan J

Affiliations

National Institute of Chemistry Ljubljana - Author
Universitat Rovira i Virgili - Author

Abstract

The apparent metabolic energy (EMA) of barley is modelled as a function of 12 easily obtainable analytical parameters by applying neural networks with the error back-propagation learning strategy. Kohonen maps and Ward's clustering technique have been used to define the objects for the training and test sets. The architecture of the neural network and the relevant parameters of error back-propagation learning have been optimised providing a RMS of 1.081 and a correlation coefficient (predicted versus found values) of 0.82. Contour maps of all variables including the output EMA value have been obtained by applying the counter-propagation learning strategy in a two-layer neural network. The responses yielded by the networks show that this method is capable of establishing a quantitative relationship between EMA and the original variables. © 1995.

Keywords
Affordable and clean energy

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2025-05-16:

  • Open Alex: 12
  • Scopus: 10
  • OpenCitations: 7
Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-05-16:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 15 (PlumX).
Continuing with the social impact of the work, it is important to emphasize that, due to its content, it can be assigned to the area of interest of ODS 7 - Affordable and clean energy, with a probability of 88% according to the mBERT algorithm developed by Aurora University.
Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Slovenia.

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (Lozano Castro, Jennifer) .