Russian Federation
The article discusses neural network modeling of the main quality indicators of forest stands using the example of Scots pine in the South Yakut lingonberry forests.
neural networks, qualitative characteristics, pine forest stand
1. Shvidenko, A.Z. Sistema modeley rosta i dinamiki produktivnosti lesov Rossii (tablicy i modeli bioproduktivnosti) / A.Z Shvidenko, D.G. Schepaschenko, S. Nil'sson, Yu.I. Buluy // Lesnoe hozyaystvo. – 2004. - №2. – S. 40 – 44.
2. Lebedev, A.V. Taksacionnye pokazateli sosnovyh drevostoev po dannym dolgovremennyh nablyudeniy/ A.V. Lebedev, V.V. Kuz'michev// Sibirskiy lesnoy zhurnal. – 2023. - №2. – S. 3 – 16. DOI: https://doi.org/10.15372/SJFS20230201; EDN: https://elibrary.ru/MFYIFM
3. Dubenok, N.N. Dinamicheskaya model' izrezhivaniya kul'tur sosny/ N.N. Dubenok, A.V. Lebedev, V.V. Kuz'michev// Izvestiya Sankt-Peterburgskoy lesotehnicheskoy akademii. – 2022. – Vyp. №239. – S. 6 – 21. DOI: https://doi.org/10.21266/2079-4304.2022.239.6-21; EDN: https://elibrary.ru/FIKCRJ
4. Merzlenko, M.D. Dinamika rosta sosny v starovozrastnyh drevostoyah slozhnogo bora/ M.D. Merzlenko [i dr.]// Izvestiya vuzov. Lesnoy zhurnal. – 2018. - №4. – S. 31 – 39. DOI: https://doi.org/10.17238/issn0536-1036.2018.4.31; EDN: https://elibrary.ru/XUBIWD
5. Kireeva, K.A. Razrabotka iskusstvennoy neyronnoy seti dlya klassifikacii EKG/ K.A. Kireeva, L.A. Korobova, D.V. Arapov// Modelirovanie sistem i processov. – 2023. – T.16, №3. – S. 42 - 54. – DOI:https://doi.org/10.12737/2219-0767-2023-16-3-42-54. EDN PERZZQ.
6. Arapov, D.V. Avtomatizirovannaya mobil'naya sistema prinyatiya resheniy dlya ispol'zovaniya v special'noy medicine / D.V. Arapov, V.A. Kuricyn, S.A. Skorobogatov // Modelirovanie sistem i processov. – 2024. – T. 17. № 3. – S. 7-16. DOI:https://doi.org/10.12737/2219-0767-2024-5-13. EDN: https://elibrary.ru/CMPAPT