Revista UIS Ingenierías

Vol. 22 No. 1 (2023): Revista UIS Ingenierías
Articles

Pattern recognition for the modification of characteristics using non-linear techniques

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  • Fernando Mesa,
  • Rogelio Ospina-Ospina,
  • Diana Marcela Devia-Narvaez
Fernando Mesa
Universidad Tecnológica de Pereira
Rogelio Ospina-Ospina
Universidad Industrial de Santander
Diana Marcela Devia-Narvaez
Universidad Tecnológica de Pereira
DOI: https://doi.org/10.18273/revuin.v22n1-2023002

Published 2023-01-02

Keywords

  • assertiveness,
  • database,
  • characteristics,
  • estimation,
  • data cleansing,
  • vector support machine,
  • samples,
  • artificial neural networks,
  • validation,
  • treatment
    • ...More
    Less

How to Cite

Mesa, F., Ospina-Ospina, R. ., & Devia-Narvaez, D. M. (2023). Pattern recognition for the modification of characteristics using non-linear techniques. Revista UIS Ingenierías, 22(1), 17–24. https://doi.org/10.18273/revuin.v22n1-2023002

Copyright (c) 2023 Revista UIS Ingenierías

Creative Commons License

This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.

Abstract

Traditional data processing applications are unsuitable for handling large amounts of data. To achieve an efficient manipulation and extraction of characteristics or samples that the information represents, it is necessary to know aspects such as data collection and treatment. In this document, a database corresponding to the behavior of electrical energy consumption in a residential load was refined. The debugging and statistical analysis of the samples were carried out using the principal component analysis. The training of the smallest data set to the original database was made using vector support machine techniques and artificial neural networks. Finally, a proposal is presented for the analysis of samples that are within the operating limits or not using updating dynamic patterns for the unsupervised validation of new samples.

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