Nonparametric modelling of multidimensional technological processes with dependent variables

International Conference on Innovations and Prospects of Development of Mining Machinery and Electrical Engineering 2018

矿业工程;电工学

Chzhan, E.A.^1 ; Medvedev, A.V.^1 ; Kukartsev, V.V.^1,2

Siberian Federal University, Svobodny, 79, Krasnoyarsk

660041, Russia^1

Reshetnev Siberian State University of Science and Technology, Krasnoyarskiy rabochiy, 31, Krasnoyarsk

660037, Russia^2

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

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/194/2/022007/pdf
DOI  :  10.1088/1755-1315/194/2/022007

来源: IOP

【 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.