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Intelligent and Soft Computing
Techniques and Applications
- 1st Edition - August 1, 2025
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 3 0 0 9 0 - 5
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 0 0 9 1 - 2
Intelligent and Soft Computing: Techniques and Applications illustrates the synergistic effect of cutting-edge developments in all areas of both fields to build intelligent softwa… Read more
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Request a sales quoteIntelligent 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.
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.
- Presents new directions of research in the fields of intelligent computing and soft computing
- Explores tools and software pertaining to both intelligent computing and soft computing which can address challenges to imprecision, uncertainty, and variability
- Brings together leading scholars from the fields of intelligent and soft computing to discuss how these applications can be trained to work together to solve complex real-world problems
Researchers, graduate students, and professionals in the fields of artificial intelligence, fuzzy system, soft computing, and data modeling
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
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
- No. of pages: 300
- Language: English
- Edition: 1
- Published: August 1, 2025
- Imprint: Academic Press
- Paperback ISBN: 9780443300905
- eBook ISBN: 9780443300912