Порівняльний аналіз нейро-нечітких систем класифікації електрооптичних зображень в умовах інформаційної невизначеності
A comparative analysis of neuro-fuzzy algorithms is performed and their performance in classification of electrooptical images in an uncertain environment is investigated. Classification algorithms based on Kohonen, ANFIS, NEFCLASS neuro-fuzzy nets have been considered, and their comparison analysis...
Збережено в:
| Дата: | 2019 |
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| Автори: | , |
| Формат: | Стаття |
| Мова: | Ukrainian |
| Опубліковано: |
The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
2019
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| Онлайн доступ: | http://journal.iasa.kpi.ua/article/view/165167 |
| Теги: |
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| Назва журналу: | System research and information technologies |
Репозитарії
System research and information technologies| Резюме: | A comparative analysis of neuro-fuzzy algorithms is performed and their performance in classification of electrooptical images in an uncertain environment is investigated. Classification algorithms based on Kohonen, ANFIS, NEFCLASS neuro-fuzzy nets have been considered, and their comparison analysis has been conducted. A new method for classification of electrooptical images in the considered class of problems is proposed. |
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