Structure identification

The article offers a set of dynamic models of predicting the website attendance. The numerical experiments were conducted to identify these models. It allowed the authors to structure an adequate model to predict overall and target attendance, basing on the analysis of the characteristics of business processes of an object represented by this website.

In the article, the problem of structure identification of the interval difference operator (IDO) as a model of distributed parameters object is considered. A new method of structure identification of the IDO based on the foraging behavior of a honey bee colony has been proposed and verified. In addition, a neural-like computational scheme of the implementation of the method has been developed.