2004
DOI: 10.1142/s146902680400129x
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Evaluation of Selecting Interval Values of Input Variables in Connectionist Networks

Abstract: Selecting parameters can be a powerful mechanism in constructing new evolving connectionist network. However, if a parameter contains partial information such that only some of the values are relevant and others are not, then a selection of the subset of relevant values is more appropriate. Considering the possible values of a parameter of a processing connectionist network as the outcomes of a variable, this research focuses on selecting interval values of the variable. It also considers the partitioning sche… Show more

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