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

Jumanov Isroil  Ibragimovich; Tolipov Asliddin  Erkinovich

doi:10.47494/mesb.v21i.1075

(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

DOI:

https://doi.org/10.47494/mesb.v21i.1075

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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