Computer Science – Neural and Evolutionary Computing
Scientific paper
2008-02-02
Symbolic Data Analysis and the SODAS Software Wiley (Ed.) (2008) 373-391
Computer Science
Neural and Evolutionary Computing
Scientific paper
In some real world situations, linear models are not sufficient to represent accurately complex relations between input variables and output variables of a studied system. Multilayer Perceptrons are one of the most successful non-linear regression tool but they are unfortunately restricted to inputs and outputs that belong to a normed vector space. In this chapter, we propose a general recoding method that allows to use symbolic data both as inputs and outputs to Multilayer Perceptrons. The recoding is quite simple to implement and yet provides a flexible framework that allows to deal with almost all practical cases. The proposed method is illustrated on a real world data set.
Conan-Guez Brieuc
Rossi Fabrice
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