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March 6, 2025
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Multilayer perceptron architecture optimization using parallel computing techniques

Publicated to:PLoS ONE. 12 (12): - 2017-12-01 12(12), DOI: 10.1371/journal.pone.0189369

Authors: Castro W; Oblitas J; Santa-Cruz R; Avila-George H

Affiliations

Centro de Investigaciones e Innovaciones de la Agroindustria Peruana; Universitat de Lleida - Author
CONACYT-CICESE - Author
Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas - Author
Universidad Privada del Norte - Author

Abstract

The objective of this research was to develop a methodology for optimizing multilayer-perceptron-type neural networks by evaluating the effects of three neural architecture parameters, namely, number of hidden layers (HL), neurons per hidden layer (NHL), and activation function type (AF), on the sum of squares error (SSE). The data for the study were obtained from quality parameters (physicochemical and microbiological) of milk samples. Architectures or combinations were organized in groups (G1, G2, and G3) generated upon interspersing one, two, and three layers. Within each group, the networks had three neurons in the input layer, six neurons in the output layer, three to twenty-seven NHL, and three AF (tan-sig, log-sig, and linear) types. The number of architectures was determined using three factorial-type experimental designs, which reached 63, 2 187, and 50 049 combinations for G1, G2 and G3, respectively. Using MATLAB 2015a, a logical sequence was designed and implemented for constructing, training, and evaluating multilayer-perceptron-type neural networks using parallel computing techniques. The results show that HL and NHL have a statistically relevant effect on SSE, and from two hidden layers, AF also has a significant effect; thus, both AF and NHL can be evaluated to determine the optimal combination per group. Moreover, in the three study groups, it is observed that there is an inverse relationship between the number of processors and the total optimization time.

Keywords

Administração pública e de empresas, ciências contábeis e turismoAdministração, ciências contábeis e turismoAgricultural and biological sciences (miscellaneous)AnthropologyAntropologia / arqueologiaArchaeologyArquitetura, urbanismo e designAstronomia / físicaBiochemistry, genetics and molecular biology (miscellaneous)BiodiversidadeBiologyBiotecnologíaCiência da computaçãoCiência de alimentosCiência política e relações internacionaisCiências agrárias iCiências ambientaisCiências biológicas iCiências biológicas iiCiências biológicas iiiCiências sociais aplicadas iComunicação e informaçãoDemographyDireitoEconomiaEducaçãoEducação físicaEnfermagemEngenharias iEngenharias iiEngenharias iiiEngenharias ivEnsinoEnvironmental studiesFarmaciaGeneral agricultural and biological sciencesGeneral biochemistry,genetics and molecular biologyGeneral medicineGeociênciasGeografíaHistoriaHistory & philosophy of scienceHuman geography and urban studiesInterdisciplinarInterdisciplinary research in the social sciencesLetras / linguísticaLinguística e literaturaMatemática / probabilidade e estatísticaMateriaisMedicina iMedicina iiMedicina iiiMedicina veterinariaMedicine (miscellaneous)MultidisciplinaryMultidisciplinary sciencesNutriçãoOdontologíaPlanejamento urbano e regional / demografiaPsicologíaPsychologyQuímicaSaúde coletivaServiço socialSociologíaSociologyZootecnia / recursos pesqueiros

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal PLoS ONE due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2017, it was in position 15/64, thus managing to position itself as a Q1 (Primer Cuartil), in the category Multidisciplinary Sciences.

From a relative perspective, and based on the normalized impact indicator calculated from the Field Citation Ratio (FCR) of the Dimensions source, it yields a value of: 12.13, which indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: Dimensions Jul 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-07-05, the following number of citations:

  • Scopus: 59

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 2025-07-05:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 97.
  • 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: 97 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 0.5.
  • The number of mentions on the social network X (formerly Twitter): 1 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.