In:
Informatization and communication, Informatization and Communication Journal Editorial Board, Vol. 2 ( 2022)
Abstract:
This article proposes a model of a quantum neural network based on a multilevel activation function, which has high performance. This performance is achieved by combining such unique components as: the quantum weight vector, quantum activity values and the dot product operator. In addition, algorithms for learning weight parameters and quantum intervals are presented, in particular, the Levenberg-Marquardt algorithm is improved to improve the quality of the error back propagation method in the process of learning weight parameters, which will also reduce the likelihood of quantum errors.
Type of Medium:
Online Resource
ISSN:
2078-8320
DOI:
10.34219/2078-8320-2022-13-2-44-48
Language:
Unknown
Publisher:
Informatization and Communication Journal Editorial Board
Publication Date:
2022
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