Control of the Reliability of Textual Information in Documents Based on Neuro-Fuzzy Identification


  • (1)  Jumanov Isroil Ibragimovich            Doctor of Technical Sciences, Professor, Department of Information Technologies, Samarkand State University, Samarkand, Uzbekistan  
            Uzbekistan

  • (2)  Tolipov Asliddin Erkinovich            Graduate student, Department of Information Technologies, Samarkand State University, Samarkand, Uzbekistan  
            Uzbekistan
    (*) Corresponding Author

Keywords:

reliability of information, fuzzy model, neural network, parametric, structural identification, optimization

Abstract

Constructive approaches, methods, algorithms and a software package for improving the reliability of transmission and processing of electronic documents in electronic document management systems based on soft computing have been developed. The methods of parametric identification, linear, non-linear functional dependencies, identifiers and approximators of fuzzy models, as well as neural networks have been studied. Knowledge bases of fuzzy rules and databases are implemented. Modified operators of the genetic algorithm are proposed, which are tied into the structure of mechanisms for fuzzy control of the reliability of texts of electronic documents.

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References

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Published

2022-02-16

How to Cite

Ibragimovich, J. I. ., & Erkinovich, T. A. . (2022). Control of the Reliability of Textual Information in Documents Based on Neuro-Fuzzy Identification. Middle European Scientific Bulletin, 21, 144-149. Retrieved from https://cejsr.academicjournal.io/index.php/journal/article/view/1075

Issue

Vol. 21 (2022): February

Section

Science
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