Nonparametric modelling of multidimensional technological processes with dependent variables

[摘要] The article deals with the features of simulation of multidimensional discrete-continuous processes with delay, the input variables of which are connected by stochastic dependence. These processes are typical for metallurgy and the mining industry. The type of dependence is unknown to the researcher. A series of computational experiments on the construction of nonparametric models in the conditions of incompleteness of a priori information, small samples and in the presence of interference shows the effectiveness of proposed nonparametric identification algorithm.

[发布机构] Siberian Federal University, Svobodny, 79, Krasnoyarsk; 660041, Russia^1;Reshetnev Siberian State University of Science and Technology, Krasnoyarskiy rabochiy, 31, Krasnoyarsk; 660037, Russia^2

[效力级别] 电工学

[关键词] Computational experiment;Dependent variables;Non-parametric identification;Non-parametric model;Non-parametric modelling;Priori information;Stochastic dependence;Technological process