ОПТИМИЗИРАНЕ НА БАЗА ОТ ПРАВИЛА С ГЕНЕТИЧНА РАЗМИТА СИСТЕМА

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dc.contributor.authorГеоргиева, Пенка
dc.contributor.authorПопчев, Иван
dc.date.accessioned2025-02-23T13:37:19Z
dc.date.issued2018
dc.description.abstractThis paper examines the concepts for designing and building a system that integrates the potential of fuzzy modeling with the capabilities of genetic algorithms in the process of finding optimal solutions. The rule-based genetic fuzzy system is a hybrid system that aims at optimizing the weight of the rules in the knowledge base of FSSAM. Some results from the optimization process are shown as an illustration of the system’s capabilities.
dc.identifier.issn1314-7846
dc.identifier.urihttp://research.bfu.bg:4000/handle/123456789/236
dc.language.isobg
dc.publisherБургаски свободен университет
dc.relation.ispartofseriesТ. 7 Бр. 1
dc.subjecthybrid systems
dc.subjectgenetic fuzzy system
dc.subjectartificial intelligence
dc.titleОПТИМИЗИРАНЕ НА БАЗА ОТ ПРАВИЛА С ГЕНЕТИЧНА РАЗМИТА СИСТЕМА
dc.title.alternativeRULE BASE OPTIMIZATION WITH A GENETIC FUZZY SYSTEM
dc.typeArticle

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Компютърни науки и комуникации, 2018, Том 7, Брой 1