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dc.contributor.authorJelínek, Jiřícze
dc.date.accessioned2021-03-04T17:50:43Z
dc.date.available2021-03-04T17:50:43Z
dc.date.issued2019eng
dc.identifier.isbn978-989-758-350-6eng
dc.identifier.urihttps://dspace.jcu.cz/handle/20.500.14390/701
dc.description.abstractThis paper aims to present a classification model based on Kohonen maps with a modified learning mechanism and structure as well. Modification of the model structure consists of its modification for hierarchical training and recall. The change of the learning process is the transition from unsupervised to supervised learning. Experiments were performed with the modified model to verify changes in the model and compare the results with other research.eng
dc.formatp. 584-591eng
dc.language.isoengeng
dc.publisherSciTePresseng
dc.relation.ispartofICAART 2019 - Proceedings of the 11th International Conference on Agents and Artificial Intelligenceeng
dc.subjectKohonen Mapeng
dc.subjectNeural Networkseng
dc.subjectPattern Classificationeng
dc.titleKohonen map modification for classification taskseng
dc.typeConferenceObjecteng
dc.identifier.obd43885629eng
dc.peerreviewedyeseng
dc.publicationstatuspostprinteng
dc.event11th International Conference on Agents and Artificial Intelligence, ICAART 2019 (19.02.2019 - 21.02.2019, Praha)eng


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