Інтелектуальна діагностика захворювання серця на основі використання ансамблю нейронних мереж
DOI:
https://doi.org/10.18372/1990-5548.69.16420Ключові слова:
хвороба серця, ансамбль нейронних мереж, захворювання, електрокардіограма, ехокардіографія, Допплерівське дослідженняАнотація
Розглянуто проблему побудови інтелектуальної системи діагностики ураження клапанів серця. Показано, що діагноз встановлюється на підставі результатів стандартного обстеження, яке включає анамнез, лабораторні дані, електрокардіограму, ехокардіограму та допплерівське дослідження. Для вирішення поставленого завдання обґрунтовано використання гібридних нейронних мереж ансамблевої топології. Запропоновано алгоритм структурно-параметричного синтезу гібридних нейронних мереж ансамблевої топології. Як критерії були використані точність та різноманітність. Наведено структуру діагностичної системи розпізнавання клапанних захворювань серця. Наведено результати досліджень розробленого програмного забезпечення. Що ж до навчання компонентних нейронних мереж, то використовується підхід Бегінгу. Подано структуру діагностичної системи для розпізнавання клапанних вад серця. Наведено результати дослідження розробленого програмного забезпечення.
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