Published April 30, 2020 | Version v1
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Rough Sets and Colonies of Artificial Ants for the Improvement of Training Sets

  • 1. , Educational Center "José Martí", University of Ciego de Ávila, Ciego de Ávila, Cuba.
  • 1. Publisher


Improving training sets is an area of active research within l to Artificial Intelligence. In particular, it is of particular interest in supervised classification systems, where the quality of training data is crucial. This paper presents a new method for the improvement of training sets, based on approximate sets and artificial ant colonies. The experimental study carried out with international databases allows us to guarantee the quality of the new algorithm, which has a high efficiency.


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Journal article: 2249-8958 (ISSN)


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