Programação por Metas para Ajuste Não Linear

Authors

  • G. C. Almeida UNESP/Botucatu
  • L. W. Marcucci UNESP/Botucatu
  • E. R. Pinto UNESP/Botucatu
  • M. H. Oliveira UNESP/Botucatu
  • H. O. Florentino UNESP/Botucatu
  • D. R. Cantane UNESP/Botucatu
  • D. F. Jones UniversityofPortsmouth

DOI:

https://doi.org/10.5540/tema.2020.021.02.249

Keywords:

Regressão não Linear, Otimização por Metas, Métodos de Mínimos Quadrados, Levenberg Marquardt.

Abstract

O objetivo deste trabalho é comparar a eficácia dos modelos de Programação por Metas como ferramenta de regressão não linear, com os métodos de ajustes não lineares clássicos. Aplicou-se os modelos a dados experimentais de inativação de Salmonella spp. em carne moída suína. A investigação da eficiência dos métodos foi realizada pelo cálculo do erro absoluto.

Author Biographies

H. O. Florentino, UNESP/Botucatu

Departamento de Bioestatística

D. R. Cantane, UNESP/Botucatu

Departamento de Bioestatística

D. F. Jones, UniversityofPortsmouth

Faculty of Technology, School of Mathematics & Physics

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Published

2020-07-22

How to Cite

Almeida, G. C., Marcucci, L. W., Pinto, E. R., Oliveira, M. H., Florentino, H. O., Cantane, D. R., & Jones, D. F. (2020). Programação por Metas para Ajuste Não Linear. Trends in Computational and Applied Mathematics, 21(2), 249. https://doi.org/10.5540/tema.2020.021.02.249

Issue

Vol. 21 No. 2 (2020)

Section

Original Article

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