國立虎尾科技大學 |

Advances in Artificial Systems for Power Engineering

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Advances in Artificial Systems for Power Engineering/ edited by Zhengbing Hu, Bo Wang, Sergey Petoukhov, Matthew He.
其他作者:	He, Matthew.
面頁冊數:	VII, 244 p. 126 illus., 64 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Energy Systems. -
電子資源:	https://doi.org/10.1007/978-3-030-80531-9
ISBN:	9783030805319

Advances in Artificial Systems for Power Engineering
Advances in Artificial Systems for Power Engineering[electronic resource] /edited by Zhengbing Hu, Bo Wang, Sergey Petoukhov, Matthew He. - 1st ed. 2021. - VII, 244 p. 126 illus., 64 illus. in color.online resource. - Advances in Intelligent Systems and Computing,14032194-5365 ;. - Advances in Intelligent Systems and Computing,335.

Chatbots as a Tool to Optimize the Educational Process -- Intelligent System of Computer Aided Processes Planning -- Polypolar Coordination by the Multifocal Lemniscates -- Evaluation Method of Distributed Renewable Energy Access to Distribution Network Based on Variable Weight Theory -- Evaluation of Distribution Equipment Utilization Based on Data Driven -- Parametric Oscillations at Delays in the Forces of Elasticity and Damping -- Algebraic Harmony in Genomic DNA-texts and Long-range Coherence in Biological Systems.

This book comprises refereed papers presented at The International Conference on Artificial Intelligence and Power Engineering (AIPE2020), held in Moscow, Russia, on December 25–27, 2020. The book's/conference's general scope covers the latest advances for the development of artificial intelligence systems and their applications in various fields from power engineering to biology and education. Given the rapid development of artificial intelligence systems, the book emphasizes the need for the intensification of training of a growing number of relevant specialists, in particular, in energy and power engineering to increase the effectiveness of creation and diagnosing of appropriate technical solutions. In digital artificial intelligence systems, scientists endeavor to reproduce the innate intellectual abilities of humans and other organisms. The in-depth study of biological and self-organizing systems provides new approaches to create more and more effective artificial intelligence methods. Topics of the included papers concern thematic materials in the following spheres: mathematics and computer algorithms; analysis of some technical solutions; technological and educational approaches. The book is a compilation of state-of-the-art papers in the field, covering a comprehensive range of subjects that are relevant to business managers and engineering professionals alike. The breadth and depth of these proceedings make them an excellent resource for asset management practitioners, researchers, and academics, as well as undergraduate and postgraduate students interested in artificial intelligence systems and their growing applications. The intended readership includes specialists, students, and other circles of readers who would like to know where artificial intelligence systems can be applied in the future with great benefit.

ISBN: 9783030805319

Standard No.: 10.1007/978-3-030-80531-9doiSubjects--Topical Terms:

785876
Energy Systems.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Advances in Artificial Systems for Power Engineering
LDR:03837nam a22003975i 4500 001 1046643
003 DE-He213
005 20210831133033.0
007 cr nn 008mamaa
008 220103s2021 sz | s |||| 0|eng d
020 $a 9783030805319 $9 978-3-030-80531-9
024 7 $a 10.1007/978-3-030-80531-9 $2 doi
035 $a 978-3-030-80531-9
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a Advances in Artificial Systems for Power Engineering $h [electronic resource] / $c edited by Zhengbing Hu, Bo Wang, Sergey Petoukhov, Matthew He.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a VII, 244 p. 126 illus., 64 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Advances in Intelligent Systems and Computing, $x 2194-5365 ; $v 1403
505 0 $a Chatbots as a Tool to Optimize the Educational Process -- Intelligent System of Computer Aided Processes Planning -- Polypolar Coordination by the Multifocal Lemniscates -- Evaluation Method of Distributed Renewable Energy Access to Distribution Network Based on Variable Weight Theory -- Evaluation of Distribution Equipment Utilization Based on Data Driven -- Parametric Oscillations at Delays in the Forces of Elasticity and Damping -- Algebraic Harmony in Genomic DNA-texts and Long-range Coherence in Biological Systems.
520 $a This book comprises refereed papers presented at The International Conference on Artificial Intelligence and Power Engineering (AIPE2020), held in Moscow, Russia, on December 25–27, 2020. The book's/conference's general scope covers the latest advances for the development of artificial intelligence systems and their applications in various fields from power engineering to biology and education. Given the rapid development of artificial intelligence systems, the book emphasizes the need for the intensification of training of a growing number of relevant specialists, in particular, in energy and power engineering to increase the effectiveness of creation and diagnosing of appropriate technical solutions. In digital artificial intelligence systems, scientists endeavor to reproduce the innate intellectual abilities of humans and other organisms. The in-depth study of biological and self-organizing systems provides new approaches to create more and more effective artificial intelligence methods. Topics of the included papers concern thematic materials in the following spheres: mathematics and computer algorithms; analysis of some technical solutions; technological and educational approaches. The book is a compilation of state-of-the-art papers in the field, covering a comprehensive range of subjects that are relevant to business managers and engineering professionals alike. The breadth and depth of these proceedings make them an excellent resource for asset management practitioners, researchers, and academics, as well as undergraduate and postgraduate students interested in artificial intelligence systems and their growing applications. The intended readership includes specialists, students, and other circles of readers who would like to know where artificial intelligence systems can be applied in the future with great benefit.
650 2 4 $a Energy Systems. $3 785876
650 1 4 $a Computational Intelligence. $3 768837
650 0 $a Energy systems. $3 1253529
650 0 $a Computational intelligence. $3 568984
700 1 $a He, Matthew. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1057392
700 1 $a Petoukhov, Sergey. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1285449
700 1 $a Wang, Bo. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1204810
700 1 $a Hu, Zhengbing. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1285448
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030805302
776 0 8 $i Printed edition: $z 9783030805326
830 0 $a Advances in Intelligent Systems and Computing, $x 2194-5357 ; $v 335 $3 1253884
856 4 0 $u https://doi.org/10.1007/978-3-030-80531-9
912 $a ZDB-2-INR
912 $a ZDB-2-SXIT
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)
950 $a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)