Proposal of heuristic regression method applied in descriptive data analysis: case studies

Flávio Adalberto Gomes, Alfredo de O. Assis, Marcio R. da C. Reis, Viviane M. Gomes, Sostenes G. M. Oliveira, Wanderson R. H. de Araujo, Wesley P. Calixto

Abstract


The purpose of this paper is to use the hybridized optimization method in order to find mathematical structures for analysis of experimental data. The heuristic optimization method will be hybridized with deterministic optimization method in order to that structures found require not knowledge about data generated experimentally. Five case studies are proposed and discussed to validate the results. The proposed method has viable solution for the analysis of experimental data and extrapolation, with mathematical expression reduced.


Keywords


regression; data analysis; optimization

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DOI: http://dx.doi.org/10.22149/teee.v2i2.105

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Copyright (c) 2017 Flavio A. Gomes, Alfredo de O. Assis, Marcio R. da C. Reis, Viviane M. Gomes, Sostenes G. M. Oliveira, Wanderson R. H. de Araujo, Wesley P. Calixto

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