Stable Iterative Neural Network Training Algorithms Based on the Extreme Method

Yusupbekov, N. R.; Igamberdiev, H. Z.; Zaripov, O. O.; Mamirov, Uktam

doi:10.1007/978-3-030-64058-3_30

Cited by 7 publications

(3 citation statements)

References 5 publications

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“…In this case, the dynamic characteristic of the tuning device -the channel of the tuning quantity is obtained. The dynamic characteristics of the adjustment channel are necessary for the selection of the control algorithm and the calculation of its parameters [1][2][3][4][5].…”

Section: Methodsmentioning

confidence: 99%

Fuzzy-logic system for regulating the temperature regime of a bioreactor in the process of bacterial oxidation

Jumaev,

Makhmudov,

Isabekova

et al. 2024

E3S Web of Conf.

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In this article, a simulation model of an intelligent control system for a bioreactor used in the bacterial oxidation process of sulfide deposits with complex, gold-enriched content is developed using the functional blocks from the Fuzzy Logic Toolbox library in the MATLAB software package. Furthermore, the mathematical model of the bioreactor is represented through its transfer function in the significant adjustment channel. A rule base is established to regulate the variation of input and output parameters for the fuzzy control system. The study reveals that employing a fuzzy controller for bioreactor systems is an effective method for system adjustment.

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Section: Methodsmentioning

confidence: 99%

Fuzzy-logic system for regulating the temperature regime of a bioreactor in the process of bacterial oxidation

Jumaev,

Makhmudov,

Isabekova

et al. 2024

E3S Web of Conf.

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“…The number of pump units installed in reclamation pumping stations varies widely (2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16). The drive motors of the pumps are supplied by the step-down substation of the pump station.…”

Section: Methodsmentioning

confidence: 99%

Calculation methodology for determining the number of simultaneous self-starting pumping units

et al. 2021

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The paper considers the methodology of calculating the number of self-starting pump units depending on the network voltage landing and the basic calculation dependencies of the process of selfstarting of electric motors supplied from three-phase three-winding transformer; the substitution scheme for one phase of the circuit is made. Technical solutions for upgrading pump units, which allow applying the selfstart mode at ameliorative pumping stations, are proposed.

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“…In this case, the methods of uncertainty statistics are used [2]. In [3], stable algorithms for adaptive control and adaptation of uncertain dynamic objects are proposed based on reference models. It is shown that the work of the adaptive control system is to organize the control of the current state with the state of the reference models.…”

Section: Introductionmentioning

confidence: 99%

Control of the lifecycle of a technological complex for the rectification of multicomponent mixtures under conditions of parameter uncertainty

Avazov,

Shodiev,

Rajabov

et al. 2023

E3S Web Conf.

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Input parameter uncertainty is paid more attention among such parameters as parameter uncertainty, model uncertainty, choice uncertainty under variability, spatial variability uncertainty, temporal variability uncertainty, inter-site variability uncertainty. When the technological component changes, the control starts working again based on a new paradigm of internal and external circuits. The possibility of using the Monte Carlo method for the analysis and estimation of the uncertainty of input parameters is presented. In the analysis of the uncertainties of the input parameters, the simplification of the selection process and the probability density functions were used. Deviations from the normal distribution were represented by a matrix transformation. The technological function of the rectification complex is presented in an expanded form, the uncertainty of parameters and control actions are highlighted separately. The influence of the uncertainty of actions and the uncertainty of input parameters on the functions performed by the technological complex, the functions of planning and coordination is analyzed. It is argued that the impact of parameter uncertainty on these functions has a direct impact on the state of the complex in its lifecycle.

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Stable Iterative Neural Network Training Algorithms Based on the Extreme Method

Cited by 7 publications

References 5 publications

Fuzzy-logic system for regulating the temperature regime of a bioreactor in the process of bacterial oxidation

Fuzzy-logic system for regulating the temperature regime of a bioreactor in the process of bacterial oxidation

Calculation methodology for determining the number of simultaneous self-starting pumping units

Control of the lifecycle of a technological complex for the rectification of multicomponent mixtures under conditions of parameter uncertainty

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