Figure 1.

GPNN model for Parkinson's Disease data. A GPNN model that was evolved by GPNN on the PD data. The real numbers are used to create weights and fill in for the W nodes. The individual values of sex and DLST_234 fill into those nodes. The activation function is a Boolean function AND, thus it will take (61055.5/33038.075)*sex AND (96492.325*11716.425)*DLST_234.

Motsinger et al. BMC Bioinformatics 2006 7:39   doi:10.1186/1471-2105-7-39
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