forecasting
model with Long Range Dependent (LRD) characteristics. The LRD forecasting
model considers
). In this paper, an iterative
model of the generalized Cauchy (GC) process with LRD characteristics is proposed
algorithm, for example, a neural network
model in decision-making system to avoid possible mistakes in a
hybrid predictive
model, combining statistical properties and historical data training. In order
the characteristics of large-scale parallel processing and self-learning, a deep belief network (DBN) simulation
model5-Oxymethyluracil Stimulate Neoangiogenesis in Postinfarction Cardiosclerosis
Model in Rabbits
Vafina, G.F.,
Uzbekov, A.R.,
Gabdrakhmanova, S.F.,
Makara, N.S.,
Zarudii, F.S.,
Galin, F.Z. (2016) . It was shown that compounds 3, 5, and 8 increased the lifespan of mice in various hypoxia
models.
Abdullina, D.U.,
Korznikova, E.A.,
Dubinko, V.I.,
Laptev, D.V.,
Kudreyko, A.A.,
Soboleva, E.G.,
Dmitriev, S.V.,
Zhou, K. (2020) biaxial compression is investigated in plane strain conditions using the chain
model. In this
model