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In the paper the problem of high computational complexity of synthesis is discussed. Existing models and methods of synthesis don’t allow build models of biological objects and systems. The complexity can be significantly reduced due to considering multilevel objects models instead of single level models. The new problem statement for multilevel synthesis is given. To build the models a new method based on inductive and deductive approaches is proposed. To describe the new multilevel models of the objects the theory of automata models is extended to the case of multilevel relatively finite operational automata models. Results of modeling of dynamics of the acid-base state in cavernous sinus of patients with cardiac surgical pathology during the postoperative period in the operating room and in the cardio-resuscitation unit are given.
Язык оригинала | английский |
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Название основной публикации | Computational Science and Its Applications – ICCSA 2019 - 19th International Conference, 2019, Proceedings |
Редакторы | Sanjay Misra, Carmelo Torre, Eufemia Tarantino, Bernady O. Apduhan, Osvaldo Gervasi, Beniamino Murgante, Elena Stankova, Vladimir Korkhov, Ana Maria A.C. Rocha, David Taniar |
Издатель | Springer Nature |
Страницы | 441-456 |
Число страниц | 16 |
ISBN (печатное издание) | 9783030242954 |
DOI | |
Состояние | Опубликовано - 1 янв 2019 |
Событие | 19th International Conference on Computational Science and Its Applications, ICCSA 2019 - Saint Petersburg, Российская Федерация Продолжительность: 1 июл 2019 → 4 июл 2019 Номер конференции: 19 |
Название | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Том | 11620 LNCS |
ISSN (печатное издание) | 0302-9743 |
ISSN (электронное издание) | 1611-3349 |
конференция | 19th International Conference on Computational Science and Its Applications, ICCSA 2019 |
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Сокращенное название | ICCSA 2019 |
Страна/Tерритория | Российская Федерация |
Город | Saint Petersburg |
Период | 1/07/19 → 4/07/19 |
ID: 47608118