There exists a great variety of evolutionary algorithms (EAs) that represent different search
strategies for many classes of optimization problems. Real-world problems may combine …

In this paper, we propose to use the scaling ambiguity of convolutive blind source separation
for shortening the unmixing filters. An often used approach for separating convolutive …

Parameter identification of an electrical battery model is significant for the analysis of the
performance of a battery. In order to obtain an accurate electrical battery model, a series of …

234 УДК 004.8 РЕШЕНИЕ ЗАДАЧ РАСПОЗНАВАНИЯ ЛИЦ И МИМИКИ С ПОМОЩЬЮ
СВЕРТОЧН Page 1 Решетневские чтения. 2017 234 УДК 004.8 РЕШЕНИЕ ЗАДАЧ …

Reducing the dimensionality of datasets and configuring learning algorithms for solving
particular practical tasks are the main problems in machine learning. In this work we …

Many real-world problems of design and control in a field of the aerospace lead to
optimization problems. Such optimization problems are complicated and become a great …

This work focuses on the problem of the automated design of efficient network intrusion
detectors. The SVM-based classifier with the problem attributes (features) selection is …

Рассматриваются различные методы вычислительного интеллекта для решения
задачи распознавания образов изображений. Сверточная нейронная сеть показывает …

Many complex optimization problems require a modification of the general evolutionary
algorithm (EA) according to the given features of the problem. There exist a great variety of …

Many real-world problems of design and control in a field of the aerospace lead to
optimization problems. Such optimization problems are complicated and become a great …