Eurasian Journal of Mathematical Theory and Computer Sciences 2-jild 14-son (2022) · 58–65-betlar

MODELING USING LINEAR AND POLYNOMIAL REGRESSION ALGORITHMS OF MACHINE LEARNING BASED ON MAHALLA DATA

Ibragimov, Mukhiddin, Khujaev, Otabek, Rakhimboev, Hikmat, Khaitboeva, Durdona

DOI: 10.5281/zenodo.7485196 · Manbada o'qish → · PDF (manba serverida)

Annotatsiya

The article deals with the problem of creating a model and algorithm to support the importance of monitoring in the management of socio-economic processes in self-government bodies, decision-making in self-government bodies through machine learning. Models and algorithms of the decision-making process in digital form are studied, consisting of independent data, quantitative parametric assessments of the activities of self-government bodies and general expert assessments of self-government bodies. This model is used to quantify the generalized expert assessment of the condition of the object of the new self-government body, which is interpreted as a proposed improvement solution.

Expert, body, monitoring, object, indicators, criteria.

Metadata manbasi: jurnal OAI-PMH arxivi · Sindex to'liq matnni saqlamaydi, manbaga havola beradi.