Использование иммунного и генетического алгоритмов для оптимизации обучения нейронной сети; Информационные технологии в науке, управлении, социальной сфере и медицине
| Parent link: | Информационные технологии в науке, управлении, социальной сфере и медицине.— 2015.— [С. 859-861] |
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| Հիմնական հեղինակ: | |
| Համատեղ հեղինակ: | |
| Այլ հեղինակներ: | |
| Ամփոփում: | Заглавие с титульного экрана Nowadays, computer technologies are widely implemented and used in all areas of human activity, including in medicine. They can significantly improve the quality of healthcare by modeling a pathological process in a particular disease. A neural network can be trained to determine diseases, but training may take a long time because of the large number of indicators of human health, as well as increased demands on the accuracy of recognition. Training time can be reduced by using optimization algorithms presented in this article. |
| Լեզու: | ռուսերեն |
| Հրապարակվել է: |
2015
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| Շարք: | Математические методы и информационные технологии в психологии и медицине |
| Խորագրեր: | |
| Առցանց հասանելիություն: | http://earchive.tpu.ru/handle/11683/17292 http://www.lib.tpu.ru/fulltext/c/2015/C24/378.pdf |
| Ձևաչափ: | Էլեկտրոնային Գրքի գլուխ |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=614095 |
| Ամփոփում: | Заглавие с титульного экрана Nowadays, computer technologies are widely implemented and used in all areas of human activity, including in medicine. They can significantly improve the quality of healthcare by modeling a pathological process in a particular disease. A neural network can be trained to determine diseases, but training may take a long time because of the large number of indicators of human health, as well as increased demands on the accuracy of recognition. Training time can be reduced by using optimization algorithms presented in this article. |
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