hybrid predictive
model, combining statistical properties and historical data training. In order
KHAZHIEV, S.Y.,
KHUSAINOV, M.A.,
KUZNETSOV, V.V.,
KHALIKOV, R.A.,
TYUMKINA, T.V.,
MESHCHERYAKOVA, E.S.,
KHALILOV, L.M. (2019) in the chair conformation with the axially oriented phenyl group. The
computer simulation using DFT
Kazantseva, Anastasiya,
Davydova, Yuliya,
Enikeeva, Renata,
Mustafin, Rustam,
Malykh, Sergey,
Lobaskova, Marina,
Kanapin, Alexander,
Prokopenko, Inga,
Khusnutdinova, Elza (2023) to address the “missing heritability” problem. We designed regression
models, which included PGS using 27
the characteristics of large-scale parallel processing and self-learning, a deep belief network (DBN) simulation
model