Programação por Metas para Ajuste Não Linear
DOI:
https://doi.org/10.5540/tema.2020.021.02.249Keywords:
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.References
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