Optimal performance and application for seagull optimization algorithm using a hybrid strategy
Q Xia, Y Ding, R Zhang, H Zhang, S Li, X Li - Entropy, 2022 - mdpi.com
This paper aims to present a novel hybrid algorithm named SPSOA to address problems of
low search capability and easy to fall into local optimization of seagull optimization …
low search capability and easy to fall into local optimization of seagull optimization …
Blind source separation based on double-mutant butterfly optimization algorithm
Q Xia, Y Ding, R Zhang, M Liu, H Zhang, X Dong - Sensors, 2022 - mdpi.com
The conventional blind source separation independent component analysis method has the
problem of low-separation performance. In addition, the basic butterfly optimization …
problem of low-separation performance. In addition, the basic butterfly optimization …
Power Consumption Analysis with Independent Component Analysis
I Pavlov, V Zatsepina - 2022 4th International Conference on …, 2022 - ieeexplore.ieee.org
This article presents a method for analyzing a time series of electricity consumption using
Independent Component Analysis (ICA). With this method, it is possible to automatically …
Independent Component Analysis (ICA). With this method, it is possible to automatically …
ИССЛЕДОВАНИЕ ПРОГНОЗИРОВАНИЯ ЭЛЕКТРИЧЕСКОЙ НАГРУЗКИ С ИСПОЛЬЗОВАНИЕМ ИСКУССТВЕННОЙ НЕЙРОННОЙ СЕТИ
ВИ Зацепина, ИВ Павлов - Вести высших учебных заведений …, 2022 - vestivuzov.ru
Аннотация Каждый год наблюдается рост развития с последующим увеличением
потребности в электрической энергии. В связи с этим необходимо прогнозировать …
потребности в электрической энергии. В связи с этим необходимо прогнозировать …