In the medical field, development will help cardiologists understand the interaction between the heart and blood vessels more accurately, which will improve the diagnosis of cardiovascular diseases in early stages. The method also allows you to select more effectively than treatment and follow the restoration of patients after a heart attack.
To teach AI, researchers used mathematical vibration generators that mimic the behavior of living systems. The signals were fed to the input of various neural networks by adding different density noise for 70 seconds.
Experiments have shown that the fully comprehensive neural network shows the greatest resistance against strong interfaces, and that the bundle cope better with the definition of weak bonds. It turned out that the recurrent network was less accurate, especially in case of lack of communication between signals.
The development was made as part of the Priority 2030 program with the support of the Russian Science Fund.
Source: Ferra
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