Method for forecasting number of cases in court for specified number of months, involves performing inverse transformation of normalization of dynamics with obtaining forecast of selected tag, and transmitting information about forecast of selected tag to monitor of stationary computer in court
	GROMOV V A; LUKIANENKO P P; BESCHASTNOV I N; TOMASHCHUK K K
	2023-08-10
专利权人	UNIV HIGHER SCHOOL ECONOMICS NAT RES (UYHI-Non-standard)
申请日期	2023-08-10
专利号	RU2023121002-A
成果简介	NOVELTY - The method involves connecting to a database containing case files with names of regions and case categories at different points in time by month. The tensor calculations of forecasting the trend of the selected tag dynamics for a set number of months are performed. A connection of the results of tensor calculations of the forecast of the selected residue dynamics for a set number of months is performed using the results of transforming each residue dynamics into multi-tables of motives and dynamics of the selected residue tag and tensor calculations of forecasting the trend of the selected tag dynamics for a set number of months. The inverse transformation of the normalization of the dynamics with obtaining a forecast of the selected tag is performed. The information about the forecast of the selected tag is transmitted to the monitor of a stationary computer located in court. USE - Method for forecasting number of cases in court for specified number of months.
IPC 分类号	G06F-015/16 ; G06F-017/18 ; G06Q-050/18
国家	俄罗斯
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/20890
专题	中国科学院新疆生态与地理研究所
作者单位	UNIV HIGHER SCHOOL ECONOMICS NAT RES (UYHI-Non-standard)
推荐引用方式 GB/T 7714	GROMOV V A,LUKIANENKO P P,BESCHASTNOV I N,et al. Method for forecasting number of cases in court for specified number of months, involves performing inverse transformation of normalization of dynamics with obtaining forecast of selected tag, and transmitting information about forecast of selected tag to monitor of stationary computer in court. RU2023121002-A[P]. 2023.

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