Using similarity assessment in case-based reasoning to solve power system substation problems

Autores/as

  • Germano Lambert Torres Universidade Federal de Itajubá
  • Helga Gonzaga Martins Universidade Federal de Itajubá
  • Ronaldo Rossi Universidade de Taubaté
  • Luiz Eduardo Borges Silva Universidade Federal de Itajubá

Resumen

This paper presents the results from application back up of diagnostic decision supported by a Case Based Reasoning (CBR), with the presentation of a retriever prototype used for cases recovering from a specialist domain. Its aim is to recover, from a memory of cases, the most adequate case for a new situation and to suggest the solution for the new case.

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Publicado

2008-10-12

Cómo citar

Torres, G. L., Martins, H. G., Rossi, R., & Silva, L. E. B. (2008). Using similarity assessment in case-based reasoning to solve power system substation problems. Revista Ciencias Exactas, 5(2). Recuperado a partir de https://periodicos.unitau.br/exatas/article/view/331

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