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Optimization Of Data Processing Based On Accounting For Factors Of External Expenses, Regulation And Correction Of Variables ., I.I Jumanov, S.M Xolmonov
Optimization Of Data Processing Based On Accounting For Factors Of External Expenses, Regulation And Correction Of Variables ., I.I Jumanov, S.M Xolmonov
Chemical Technology, Control and Management
Methods and simplified computational schemes for optimizing data processing for systems operating in conditions of limited a priori information, changes in the characteristics of external influences, uncertainty of parameters have been developed. To describe a non-stationary object, non-linear identification models are considered, constraints, input conditions for obtaining possible values of output variables are defined. An approach aimed at using identification technologies based on generalization of capabilities of dynamic models, neural networks (NN), mechanisms for regulating variable computing schemes of structural network components, as well as learning algorithms of the NN is proposed. A generalized algorithm for learning NN based on …
Optimization Of Forecast Of Non-Stationary Objects Based On Fuzzy Model Adapters At External Information Influence., O.I Djumanov, S.M Kholmonov
Optimization Of Forecast Of Non-Stationary Objects Based On Fuzzy Model Adapters At External Information Influence., O.I Djumanov, S.M Kholmonov
Chemical Technology, Control and Management
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 …
Methods Of Optimizing Data Processing Based On Fuzzy Correction Of Time Series Elements And Variable Identification Models, I.I Jumanov, Z.T Bekmurodov
Methods Of Optimizing Data Processing Based On Fuzzy Correction Of Time Series Elements And Variable Identification Models, I.I Jumanov, Z.T Bekmurodov
Chemical Technology, Control and Management
The problem of optimal identification and processing of random time series (RTS) based on the use of the property of statistical, dynamic, fuzzy models is formulated. A method for the qualitative identification of RTS is proposed, including algorithms for fuzzy equations, logical conclusions, taking into account the effects of environmental factors and the nonstationarity of processes. A generalized algorithm for identifying the RTS with regulation and correction of variables values based on fuzzy logic rules, ways of searching for extrema by norms and -norms is developed. Designed tools for optimal data processing by determining the appropriate model; parametric and structural …