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Descripción

Spatial Cognitive Engine Technology discusses the increase in user demand for satellite wireless communication services that has led to the increasing development of spectrum resources and the fixed spectrum allocation mode which makes the utilization rate of spectrum resources lower. As an intelligent spectrum sharing technology, cognitive radio has innovated the traditional spectrum management system and is one of the effective ways to solve the above-mentioned problems. As the core of satellite cognitive radio, the spatial cognitive engine can use artificial intelligence to dynamically configure working parameters according to changes in the communication environment and user needs.

  • Describes the concept of cognitive engine from the perspective of the spatial cognitive cycle
  • Includes coverage of in-depth research on the input module of the spatial cognition engine, the environmental perception module
  • Provides in-depth research that has been conducted on the learning reasoning and optimization decision-making modules of the spatial cognition engine
  • Covers the cross-layer optimization of the spatial cognition engine to realize an intelligent and complete satellite communication mechanism

1. Spatial Cognitive Engine Technology - p. i 2. Cover - p. i 3. Title Page - p. i 4. Table of Contents - p. i 5. Copyright Page - p. ii 6. Preface - p. xi 7. Chapter 1 Cognitive radio - p. 1 8. Chapter 2 Cognitive engine technology - p. 11 9. Chapter 3 Artificial intelligence technology - p. 25 10. Chapter 4 Requirements and challenges of space artificial intelligence - p. 41 11. Chapter 5 Cognitive engine design based on artificial intelligence - p. 51 12. Chapter 6 Typical applications of cognitive engines - p. 65 13. Chapter 7 Cognitive engine knowledge base design - p. 83 14. Chapter 8 Hybrid inference integration mechanism based on data drive - p. 91 15. Chapter 9 Object-oriented knowledge representation - p. 105 16. Chapter 10 Basic theory and technology of reasoning engine - p. 113 17. Chapter 11 Spacecraft - p. 129 18. Chapter 12 Compound knowledge mining - p. 163 19. Chapter 13 Machine learning algorithm for cognitive engine - p. 169 20. Chapter 14 Intelligent language knowledge for cognitive engine - p. 187 21. Index - p. 199

Descripcion
Descripción

Spatial Cognitive Engine Technology discusses the increase in user demand for satellite wireless communication services that has led to the increasing development of spectrum resources and the fixed spectrum allocation mode which makes the utilization rate of spectrum resources lower. As an intelligent spectrum sharing technology, cognitive radio has innovated the traditional spectrum management system and is one of the effective ways to solve the above-mentioned problems. As the core of satellite cognitive radio, the spatial cognitive engine can use artificial intelligence to dynamically configure working parameters according to changes in the communication environment and user needs.

  • Describes the concept of cognitive engine from the perspective of the spatial cognitive cycle
  • Includes coverage of in-depth research on the input module of the spatial cognition engine, the environmental perception module
  • Provides in-depth research that has been conducted on the learning reasoning and optimization decision-making modules of the spatial cognition engine
  • Covers the cross-layer optimization of the spatial cognition engine to realize an intelligent and complete satellite communication mechanism

1. Spatial Cognitive Engine Technology - p. i 2. Cover - p. i 3. Title Page - p. i 4. Table of Contents - p. i 5. Copyright Page - p. ii 6. Preface - p. xi 7. Chapter 1 Cognitive radio - p. 1 8. Chapter 2 Cognitive engine technology - p. 11 9. Chapter 3 Artificial intelligence technology - p. 25 10. Chapter 4 Requirements and challenges of space artificial intelligence - p. 41 11. Chapter 5 Cognitive engine design based on artificial intelligence - p. 51 12. Chapter 6 Typical applications of cognitive engines - p. 65 13. Chapter 7 Cognitive engine knowledge base design - p. 83 14. Chapter 8 Hybrid inference integration mechanism based on data drive - p. 91 15. Chapter 9 Object-oriented knowledge representation - p. 105 16. Chapter 10 Basic theory and technology of reasoning engine - p. 113 17. Chapter 11 Spacecraft - p. 129 18. Chapter 12 Compound knowledge mining - p. 163 19. Chapter 13 Machine learning algorithm for cognitive engine - p. 169 20. Chapter 14 Intelligent language knowledge for cognitive engine - p. 187 21. Index - p. 199

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