Artificial neural networks as the data ruling components of future intelligent energy systems; MATEC Web of Conferences; Vol. 141 : Smart Grids 2017

Detalles Bibliográficos
Parent link:MATEC Web of Conferences
Vol. 141 : Smart Grids 2017.— 2017.— [01049, 4 p.]
Autor principal: Buran A. L. Anna Leonidovna
Autor Corporativo: National Research Tomsk Polytechnic University (TPU)
Otros Autores: Denisov M. Maksim
Sumario:Title screen
The main target of this work is to study artificial neural networks and their role in the future intelligent energy systems. Artificial neural networks in the near future will be a very effective tool for data analysis and very perspective for energy consumers. The accelerating growth in the field of software engineering research will prove appearing of neural networks in intelligent energy systems. This study is expected to be important for researchers and engineers studying artificial neural networks (ANNs) in a wide range of domains.
Lenguaje:inglés
Publicado: 2017
Materias:
Acceso en línea:https://doi.org/10.1051/matecconf/201714101049
http://earchive.tpu.ru/handle/11683/46038
Formato: Electrónico Capítulo de libro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=657326