Parallel Multiobjective Optimization of Ensembles of Multilayer Perceptrons for pattern classification
نویسندگان
چکیده
منابع مشابه
Parallel Multiobjective Optimization of Ensembles of Multilayer Perceptrons for pattern classification
Pattern classification seeks to minimize error of unknown patterns, however, in many real world applications, type I (false positive) and type II (false negative) errors have to be dealt with separately, which is a complex problem since an attempt to minimize one of them usually makes the other grow. Actually, a type of error can be more important than the other, and a trade-off that minimizes ...
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ژورنال
عنوان ژورنال: INTELIGENCIA ARTIFICIAL
سال: 2008
ISSN: 1988-3064,1137-3601
DOI: 10.4114/ia.v12i38.973