Open AccessModeling of the work of geothermal energy with the support of the maximum power value with the help of intellectual networks
Author(s) -
O. Kollarov,
Dmytro Ostrenko
Publication year - 2019
Publication title -
energetika ì avtomatika
Language(s) - English
Resource type - Journals
ISSN - 2223-0858
DOI - 10.31548/energiya2019.06.133
Subject(s) - artificial neural network , computer science , power (physics) , function (biology) , energy (signal processing) , gas compressor , value (mathematics) , maximum power principle , geothermal energy , geothermal gradient , artificial intelligence , engineering , mechanical engineering , mathematics , machine learning , statistics , physics , geophysics , geology , quantum mechanics , evolutionary biology , biology