Optimization of forecast of non-stationary objects based on fuzzy model adapters at external information influence.

Authors

O.I Djumanov, Department of Information Technologies, Samarkand State University, Samarkand, 15, University blvd., 140104, Uzbekistan,Follow
S.M Kholmonov, Department of Information Technologies, Samarkand State University, Samarkand, 15, University blvd., 140104, Uzbekistan,

Abstract

The tasks of taking into account the sensitivity of fuzzy modeling based on the mechanisms for determining the range of elements of randomly chosen time series and the correction of the parameters of the functions of the accessories of linguistic variables, the use of the data property and the specific features of objects, the database and the knowledge base are solved. Computational schemes of dynamic identification based on polynomial models, nonlinear filters with fuzzy variable adapters are constructed. The effectiveness of generalized algorithms of fuzzy identification of randomly time series (RTS) is proved by comparison with the values of the characteristics of modal examples.

First Page

119

Last Page

122

References

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Recommended Citation

Djumanov, O.I and Kholmonov, S.M (2018) "Optimization of forecast of non-stationary objects based on fuzzy model adapters at external information influence.," Chemical Technology, Control and Management: Vol. 2018: Iss. 3, Article 26.
DOI: https://doi.org/10.34920/2018.4-5.119-122