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020 _a9783030950415
024 7 _a10.1007/978-3-030-95041-5
_2doi
040 _bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQ335
_b2022 EB
100 1 _aKim, Haesik
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9685635
245 1 0 _aArtificial Intelligence for 6G
_cby Haesik Kim
250 _a1st edition 2022
264 1 _aCham
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (XVI, 525 páginas)
_b285 ilustraciones, 2 ilustraciones a color
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
505 0 _aPart 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 _aThis 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.
988 _aSpringer_Engineering_2022
650 7 _2embne
_aInteligencia artificial
_9413115
776 0 8 _iPrinted edition:
_z9783030950408
776 0 8 _iPrinted edition:
_z9783030950422
776 0 8 _iPrinted edition:
_z9783030950439
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-95041-5
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b12/2022
_dz
_eb
_zSI