Szczegóły publikacji
Opis bibliograficzny
Artificial intelligence for energy processes and systems: applications and perspectives / Dorian Skrobek, Jarosław Krzywański, Marcin Sosnowski, Ghulam Moeen Uddin, Waqar Muhammad Ashraf, Karolina Grabowska, Anna Żyłka, Anna Kułakowska, Wojciech NOWAK // Energies [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 1996-1073. — 2023 — vol. 16 iss. 8 art. no. 3441, s. 1–12. — Bibliogr. s. 9–12, Abstr. — Publikacja dostępna online od: 2023-04-14
Autorzy (9)
- Skrobek Dorian
- Krzywański Jarosław
- Sosnowski Marcin
- Uddin Ghulam Moeen
- Ashraf Waqar Muhammad
- Grabowska Karolina
- Żyłka Anna
- Kułakowska Anna
- AGHNowak Wojciech Janusz
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 146286 |
|---|---|
| Data dodania do BaDAP | 2023-04-19 |
| Tekst źródłowy | URL |
| DOI | 10.3390/en16083441 |
| Rok publikacji | 2023 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Energies |
Abstract
In recent years, artificial intelligence has become increasingly popular and is more often used by scientists and entrepreneurs. The rapid development of electronics and computer science is conducive to developing this field of science. Man needs intelligent machines to create and discover new relationships in the world, so AI is beginning to reach various areas of science, such as medicine, economics, management, and the power industry. Artificial intelligence is one of the most exciting directions in the development of computer science, which absorbs a considerable amount of human enthusiasm and the latest achievements in computer technology. This article was dedicated to the practical use of artificial neural networks. The article discusses the development of neural networks in the years 1940–2022, presenting the most important publications from these years and discussing the latest achievements in the use of artificial intelligence. One of the chapters focuses on the use of artificial intelligence in energy processes and systems. The article also discusses the possible directions for the future development of neural networks.
