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0405U000491,
к.ф.-м.н.
14-01-2005
o
One-dimensional and two-dimensional diagnostic data analysis using the methods of artificial neural networks
Mysnyk Anatoliy Vasyliovych,
popup.head Novoselets Mikhailo Kyrylovych
popup.opponent Мартиненко Олександр Віталійович
popup.opponent Говорун Дмитро Миколайович
Запропоновано оригінальну модель штучної нейронної мережі з додаванням нейронів і метод експертної діагностики на її основі для аналізу біофізичних даних і розпізнавання патологій. Доведено, що проблему локального мінімуму для штучних нейронних мереж можна вирішити шляхом використання додаткових міжнейронних зв’язків, а також градієнтного методу ініціалізації і оптимізації ентропії. Вперше на основі розроблених методів аналізу даних створено та апробовано спосіб експертної діагностики, а також досліджено зв’язок текстурних характеристик медичних зображень з різними типами захворювань. Експериментально показано, що при аналізі паталогічних станів норма розпізнається краще і ймовірність розпізнавання слабко залежить від граничних умов системи для ультразвукових, магніторезонансних зображень і спектральних даних. Вперше отримано оцінки ефективності для розробленого метода і запропоновано оригінальний алгоритм сегментації медичних зображень. Сфера застосування - медична діагностика і моделювання біологічних систем.
2005-01-14
2020-04-04
Updated: 2025-12-28
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