Parameters Identification Method of Interval Discrete Dynamic Models of Air Pollution Based on Artificial Bee Colony Algorithm

被引：0
|
作者：
Dyvak, Mykola [1 ]
机构：
[1] Ternopil Natl Econ Univ, Dept Comp Sci, Ternopol, Ukraine
来源：
2020 10TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER INFORMATION TECHNOLOGIES (ACIT) | 2020年
关键词：
interval discrete dynamic model; bee colony algorithm; parametric identification; difference equation; interval data;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A new method for parametric identification of interval discrete dynamic models based on artificial bee colony algorithm has been proposed and justified. Proposed method is based on a new mathematical description of a searching process of a global minimum of discrete non-linear objective function under given constraints for the model parameters values. An example of the method application for identification of interval model of Carbon monoxide distribution process on a straight section of a street due to uniform vehicle traffic with a constant emission intensity is given. Higher efficiency of the proposed method compared to the existing methods of random search is shown.
引用
收藏
页码：130 / 135
页数：6
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