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Full Description
Intelligent and Soft Computing: Techniques and Applications illustrates the synergistic effect of cutting-edge developments in all areas of both fields to build intelligent software systems to solve a multitude of problems. The book offers an introduction to artificial intelligence as well as fuzzy logic concepts, systems, and methods. Additional sections focus on AI tools and applications, search and data mining, reasoning and evolution, as well as nature-inspired computing techniques. Applications and case studies are included in all chapters, making this an ideal resource for researchers, graduate students, and professionals working in these domains.
Readers will find this to be a timely reference on current and future developments in this emerging domain for decision support, management, information technology, and business applications.
Contents
Section 1: Artificial Intelligence: Introduction, Concepts, Methods
1. Machine Learning
2. Artificial Neural Networks
3. Deep Learning
4. Computer Vision
5. Support Vector Machines
6. Natural Language Processing
Section 2: An Introduction to Fuzzy Logic
7. Fuzzy Systems
8. Fuzzy Clustering Algorithms
9. Fuzzy System Integration
Section 3: Artificial Intelligence Tools & Applications
10. Hybrid Intelligent Systems
11. Intelligent System Architectures
12. Web Intelligence Application and Search
13. Ambient Intelligence
Section 4. Search and Data Mining
14. Knowledge management and knowledge retrieval
15. Data Mining Tools and techniques
16. Information Retrieval
Section 5: Reasoning and Evolution
17. Evolutionary Computing
18. Swarm Intelligence
19. Combinatorial and numerical optimization
20. Nature Inspired Computing Techniques
21. Intelligent Computing Applications and Case Studies
22. Soft Computing Applications and Case Studies
