Open AccessDetermining of the most promising artificial neural networks and ways of their training to forecast electrical energy consumption
Author(s) -
B.A. Staroverov,
B.A. Gnatyuk
Publication year - 2015
Publication title -
vestnik igèu
Language(s) - English
Resource type - Journals
ISSN - 2072-2672
DOI - 10.17588/2072-2672.2015.6.059-064
Subject(s) - training (meteorology) , artificial neural network , consumption (sociology) , energy consumption , artificial intelligence , computer science , energy (signal processing) , engineering , meteorology , mathematics , statistics , electrical engineering , geography , sociology , social science