6533b82dfe1ef96bd1290a1c
RESEARCH PRODUCT
An integrated fuzzy cells-classifier
Giosuè Lo Boscosubject
Fuzzy classificationMeta-optimizationbusiness.industryPopulation-based incremental learningFuzzy setPattern recognitionMultiple classifiersMachine learningcomputer.software_genreFuzzy logicClusteringComputingMethodologies_PATTERNRECOGNITIONGenetic algorithmSignal ProcessingGenetic algorithmClassifier fusionFuzzy setComputer Vision and Pattern RecognitionArtificial intelligenceCluster analysisbusinessClassifier (UML)computerMathematicsdescription
This paper introduces a genetic algorithm able to combine different classifiers based on different distance functions. The use of a genetic algorithm is motivated by the fact that the combination phase is based on the optimization of a vote strategy. The method has been applied to the classification of four types of biological cells, results show an improvement of the recognition rate using the genetic algorithm combination strategy compared with the recognition rate of each single classifier.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2007-02-01 |