A COMPUTATIONAL TOOL TO SUPPORT NONLINEAR REGRESSION ANALYSIS / Ferramenta Computacional para Apoio à Análise de Regressão de Dados

AUTOR(ES)

Samuel Belini Defilippo

DATA DE PUBLICAÇÃO

2008

RESUMO

Regression analysis has application in several areas, and the models obtained can be used afterwards in optimization processes. Choosing the best model for a given databases, however, is still a time-consuming task, which is frequently done in a heuristic way. In this work we develop a computational tool to support the choice of models and the estimation of parameters, based on the application of a Genetic Algorithm to the three groups of models: Least Mean Squares ones, Multi Layer Perceptrons and k-Nearest Neighbors ones. The tool is tested in different databases, one of them originating from the area of structure-based rational drug design, where future applications are foreseen

ASSUNTO(S)

otimização combinatória computabilidade e modelos de computacao otimização (matemática) ciência da computação estatística

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