Algorithms for the Selection of Relevance Functions of the Intelligent Measurement System
Keywords:
Intelligent measurement system, algorithm, relevance functions
Abstract
Algorithms for initializing the values of relevance functions of the intelligent measurement system and its component software package are considered in this paper. On the basis of the proposed algorithms, a classical multilayer network with correct connections was developed to solve the problem of signal filtering.
Downloads
Download data is not yet available.
References
1. Titov D.A., Algoritmi sifrovoy filtratsii signalov, postroennie na baze teorii nechetkix mnojestv [Digital signal filtering algorithms based on the theory of fuzzy sets] // Avtoref. diss. tex. nauk. – Omsk, 2007. – 19 s.
2. Rannev G.G., Intellektualnie sredstva izmereniy [Smart measuring instruments]. – M.: Izdatelskiy sentr «Akademiya», 2010. – 272 s.
3. David G.K., Laerwnce L.K., Azhar N., Eli S.R., Applied Regression Analysis and other multivariable methods. – USA, 2014. – 1051 p.
4. Yasoveev V.X., Urazev A.Ye., Intellektualnie datchiki i sistemi [Intelligent Sensors and Systems]. –UFA: UGATU, 2013. – 117 s.
5. Gupta K.C., Zhang Q.J., Neural Networks for RF and Microwave Design. – Artech House, Boston, London, 2000. – 392 p.
6. Uljayev E., Ubaydullaev U.M., Narzullayev Sh.N., Norboyev O.N., Application of Expert Systems for Measuring the Humidity of Bulk Materials // International Journal of Mechatronics and Applied Mechanics, 2021. Issue 9, – pp. 131-137, dx.doi.org/10.17683/ijomam/issue9.19.
7. Uljaev E., Narzullayev Sh.N., Artificial neural networks for measuring the moisture of bulk materials // Chemical Technology, Control and Management. 2021. Vol. 2021: Iss. 4, Article 4, – pp. 24-31, https://doi.org/10.51346/tstu-02.21.4-77-0027.
2. Rannev G.G., Intellektualnie sredstva izmereniy [Smart measuring instruments]. – M.: Izdatelskiy sentr «Akademiya», 2010. – 272 s.
3. David G.K., Laerwnce L.K., Azhar N., Eli S.R., Applied Regression Analysis and other multivariable methods. – USA, 2014. – 1051 p.
4. Yasoveev V.X., Urazev A.Ye., Intellektualnie datchiki i sistemi [Intelligent Sensors and Systems]. –UFA: UGATU, 2013. – 117 s.
5. Gupta K.C., Zhang Q.J., Neural Networks for RF and Microwave Design. – Artech House, Boston, London, 2000. – 392 p.
6. Uljayev E., Ubaydullaev U.M., Narzullayev Sh.N., Norboyev O.N., Application of Expert Systems for Measuring the Humidity of Bulk Materials // International Journal of Mechatronics and Applied Mechanics, 2021. Issue 9, – pp. 131-137, dx.doi.org/10.17683/ijomam/issue9.19.
7. Uljaev E., Narzullayev Sh.N., Artificial neural networks for measuring the moisture of bulk materials // Chemical Technology, Control and Management. 2021. Vol. 2021: Iss. 4, Article 4, – pp. 24-31, https://doi.org/10.51346/tstu-02.21.4-77-0027.
Published
2023-12-19
How to Cite
Shokhruh Narzullayev. (2023). Algorithms for the Selection of Relevance Functions of the Intelligent Measurement System. Central Asian Journal of Theoretical and Applied Science, 4(12), 153-157. Retrieved from https://cajotas.centralasianstudies.org/index.php/CAJOTAS/article/view/1382
Section
Articles
