is proposed and
a model for finding pathological formations based on machine
learning methods is developed
the technical aspects of solving the problem of malignant tumors diagnostic using machine
learning is the liberation of the signified from
a rigid connection with
the signifier. An important role is played
He, X.,
Wang, Z.,
Li, Y.,
Khazhina, S.,
Du, W.,
Wang, J.,
Wang, W. (2022) discrete teaching and
learning based optimization algorithm is applied to solve this NP-hard problem, and
a the characteristics of large-scale parallel processing and self-
learning,
a deep belief network (DBN) simulation model
, containing C4 = O function, were obtained and their influence on
learning and memory of aged rats was studied
The problem of distributed storing and processing of streaming data in IoT systems is considered.
A