株式会社極東書店トップ > 商品一覧 > Advances in Artificial Systems for Power Engineering II. 1st ed. 2022
商品詳細
Advances in Artificial Systems for Power Engineering II. 1st ed. 2022
・ISBN 978-3-030-97063-5 paper EUR 169.99
¥45,437.- (税込) ※(※)価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。
お気に入り
★★★
| 著者・編者 | Hu, Zhengbing / Wang, Bo / Petoukhov, Sergey / He, Matthew (eds.), |
|---|---|
| シリーズ | (Lecture Notes on Data Engineering and Communications Technologies) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2022 |
| ページ数 | 220 pp. |
| 言語 | ENG |
| ニュース番号 | <A02-84976> |
解説
This book includes refereed papers presented at the Second International Conference on Artificial Intelligence and Power Engineering (AIPE2021), which was held in Moscow, Russia, on December 17-19, 2021. The general scope of the book includes the most recent advances in the development of artificial intelligence systems and their applications in a variety of fields, ranging from power engineering to biology and education.
Given the rapid development of artificial intelligence systems, the book emphasizes the importance of intensifying training for a growing number of relevant specialists, particularly in energy and power engineering, in order to improve the effectiveness of the creation and diagnosis of appropriate technical solutions. Scientists are attempting to replicate the innate intellectual abilities of humans and other organisms in digital artificial intelligence systems. In-depth research into biological and self-organizing systems can provide new approaches for developing more and more effective artificial intelligence methods. The papers included in this volume cover thematic materials in the following areas: mathematics and computer algorithms; analysis of some technical solutions; and technological and educational approaches. The book is a collection of cutting-edge papers in the field, covering a wide range of topics relevant to both business managers and engineering professionals. These proceedings are an excellent resource for asset management practitioners, researchers, and academics, as well as undergraduate and postgraduate students interested in artificial intelligence systems and their expanding applications, due to their breadth and depth. The intended readership includes specialists, students, and other groups of readers who want to know where artificial intelligence systems can be used to great advantage in the future.