| Titre : |
Artificial Intelligence for 6G |
| Type de document : |
texte imprimé |
| Auteurs : |
Haesik Kim, Auteur |
| Mention d'édition : |
1st éd |
| Editeur : |
Springer |
| Année de publication : |
2022 |
| Importance : |
541 p |
| Format : |
24 x 16 cm |
| ISBN/ISSN/EAN : |
978-3-030-95040-8 |
| Prix : |
24 700,00 DA |
| Note générale : |
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. |
| Langues : |
Anglais (eng) |
| Index. décimale : |
621 - Physique appliquée |
| Résumé : |
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. |
Artificial Intelligence for 6G [texte imprimé] / Haesik Kim, Auteur . - 1st éd . - Switzerlan, Switzerlan : Springer, 2022 . - 541 p ; 24 x 16 cm. ISBN : 978-3-030-95040-8 : 24 700,00 DA 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. Langues : Anglais ( eng)
| Index. décimale : |
621 - Physique appliquée |
| Résumé : |
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. |
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