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

Detaylı Bibliyografya
Parent link:MATEC Web of Conferences
Vol. 141 : Smart Grids 2017.— 2017.— [01049, 4 p.]
Yazar: Buran A. L. Anna Leonidovna
Müşterek Yazar: National Research Tomsk Polytechnic University (TPU)
Diğer Yazarlar: Denisov M. Maksim
Özet: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.
Dil:İngilizce
Baskı/Yayın Bilgisi: 2017
Konular:
Online Erişim:https://doi.org/10.1051/matecconf/201714101049
http://earchive.tpu.ru/handle/11683/46038
Materyal Türü: Elektronik Kitap Bölümü
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=657326
Diğer Bilgiler
Özet: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.
DOI:10.1051/matecconf/201714101049