Increasing the credibility of texts based on neuro fuzzy networks with genetic operators for regulating variables



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11 239-Article Kholmonov Namozov (Индонезия) (1)

ISSN: 2776-0987
Volume 3, Issue 3, Mar., 2022
25 
In this case, the GA is used to adjust the corresponding parameters of the NFN 
learning model. 
The fuzzy crossover operator is performed based on Boolean algebra logical 
operations. 
New solutions are formed from existing ones through the use of logical operations 
AND, OR, AND - NOT and others. 
When executing the crossover operator based on the AND operation, the child is 
formed according to the rules for performing the conjunction of fuzzy 
propositions. 
The fuzzy mutation operator is based on the logical inversion operation. At some 
step of the algorithm execution, a chromosome (solution) is randomly selected. In 
this chromosome, two points are randomly selected, and of the chromosome 
located between the selected points the logical inversion operation is applied to 
all bits. 
Fuzzy genetic operators are built on the basis of fuzzy crossing over, based on 
crossover connections using a set of parents and with the formation of a set of 
descendants, as well as a crossover search for an extremum, etc. 
In conclusion, we note that the theoretical results obtained in this study serve as 
the basic basis for the development of algorithms for improving the reliability of 
texts of electronic documents in automated document management systems of 
enterprises and organizations based on the synthesis of NFN and GA [1,2,7].
Литература
1.
Ibragimovich, J. I., Isroilovich, D. O., & Maxmudovich, X. S. (2020, 
November). Effective recognition of pollen grains based on parametric 
adaptation of the image identification model. In 2020 International Conference 
on Information Science and Communications Technologies (ICISCT) (pp. 1-
5). IEEE.
2.
Isroil, J., & Khusan, K. (2020, November). Increasing the Reliability of Full 
Text Documents Based on the Use of Mechanisms for Extraction of Statistical 
and Semantic Links of Elements. In 2020 International Conference on 
Information Science and Communications Technologies (ICISCT) (pp. 1-5). 
IEEE.
3.
Djumanov, O. I., & Kholmonov, S. M. (2016). The modified model of training 
of neural networks in computer industrial systems with modules for 



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