國立虎尾科技大學 |

Artificial Intelligence for 6G

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Artificial Intelligence for 6G/ by Haesik Kim.
Author:	Kim, Haesik.
Description:	XVI, 525 p. 285 illus., 2 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Wireless communication systems. -
Online resource:	https://doi.org/10.1007/978-3-030-95041-5
ISBN:	9783030950415

Artificial Intelligence for 6G
Kim, Haesik.

Artificial Intelligence for 6G[electronic resource] /by Haesik Kim. - 1st ed. 2022. - XVI, 525 p. 285 illus., 2 illus. in color.online resource.

Part I: Artificial Intelligence Techniques -- Chapter 1. Historical Sketch of Artificial Intelligence -- Chapter 2. Unsupervised Learning -- Chapter 3. Supervised Learning -- Chapter 4. Gradient Descent -- Chapter 5. Reinforcement Learning -- Chapter 6. Deep Learning -- Part II: Artificial Intelligence Enabled Techniques for 6G -- Chapter 7. Artificial Intelligence and 6G -- Chapter 8. AI for Big Data -- Chapter 9. AI Enabled Wireless Communications -- Chapter 10. AI Enabled Networks -- Chapter 11. AI Empowered Mobile Applications.

This textbook introduces Artificial Intelligence (AI) techniques for wireless communications and networks, helping readers to find solutions for communications and network problems using AI. Artificial Intelligence for 6G introduces, in a step-by-step manner, AI techniques such as: unsupervised learning; supervised learning; reinforcement learning; and deep learning. It explains how these techniques can be used for wireless communications and network systems, particularly in designing and optimizing 6G networks. This book is at the forefront of 6G research, and will be of interest internationally, to graduate students, academics, engineers, and developers who are focused on future development of network systems and mobile communications. .

ISBN: 9783030950415

Standard No.: 10.1007/978-3-030-95041-5doiSubjects--Topical Terms:

562740
Wireless communication systems.

LC Class. No.: TK5103.2-.4885

Dewey Class. No.: 621.384

Artificial Intelligence for 6G
LDR:02598nam a22003975i 4500 001 1091507
003 DE-He213
005 20220329115643.0
007 cr nn 008mamaa
008 221228s2022 sz | s |||| 0|eng d
020 $a 9783030950415 $9 978-3-030-95041-5
024 7 $a 10.1007/978-3-030-95041-5 $2 doi
035 $a 978-3-030-95041-5
050 4 $a TK5103.2-.4885
072 7 $a TJKW $2 bicssc
072 7 $a TEC061000 $2 bisacsh
072 7 $a TJKW $2 thema
082 0 4 $a 621.384 $2 23
100 1 $a Kim, Haesik. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1163709
245 1 0 $a Artificial Intelligence for 6G $h [electronic resource] / $c by Haesik Kim.
250 $a 1st ed. 2022.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a XVI, 525 p. 285 illus., 2 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
505 0 $a Part I: Artificial Intelligence Techniques -- Chapter 1. Historical Sketch of Artificial Intelligence -- Chapter 2. Unsupervised Learning -- Chapter 3. Supervised Learning -- Chapter 4. Gradient Descent -- Chapter 5. Reinforcement Learning -- Chapter 6. Deep Learning -- Part II: Artificial Intelligence Enabled Techniques for 6G -- Chapter 7. Artificial Intelligence and 6G -- Chapter 8. AI for Big Data -- Chapter 9. AI Enabled Wireless Communications -- Chapter 10. AI Enabled Networks -- Chapter 11. AI Empowered Mobile Applications.
520 $a This textbook introduces Artificial Intelligence (AI) techniques for wireless communications and networks, helping readers to find solutions for communications and network problems using AI. Artificial Intelligence for 6G introduces, in a step-by-step manner, AI techniques such as: unsupervised learning; supervised learning; reinforcement learning; and deep learning. It explains how these techniques can be used for wireless communications and network systems, particularly in designing and optimizing 6G networks. This book is at the forefront of 6G research, and will be of interest internationally, to graduate students, academics, engineers, and developers who are focused on future development of network systems and mobile communications. .
650 0 $a Wireless communication systems. $3 562740
650 0 $a Mobile communication systems. $3 562917
650 0 $a Artificial intelligence. $3 559380
650 0 $a Cooperating objects (Computer systems). $3 1387590
650 0 $a Mathematical optimization. $3 527675
650 1 4 $a Wireless and Mobile Communication. $3 1207058
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Cyber-Physical Systems. $3 1387591
650 2 4 $a Optimization. $3 669174
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030950408
776 0 8 $i Printed edition: $z 9783030950422
776 0 8 $i Printed edition: $z 9783030950439
856 4 0 $u https://doi.org/10.1007/978-3-030-95041-5
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)