Advanced Machine Learning with Evolutionary and Metaheuristic Techniques
Series: Computational Intelligence Methods and Applications;
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88 752 Ft
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Product details:
- Edition number 2024
- Publisher Springer Nature Singapore
- Date of Publication 23 April 2024
- Number of Volumes 1 pieces, Book
- ISBN 9789819997176
- Binding Hardback
- No. of pages362 pages
- Size 235x155 mm
- Language English
- Illustrations X, 362 p. 1 illus. Illustrations, black & white 547
Categories
Long description:
Table of Contents:
Chapter 1. From Evolution to Intelligence: Exploring the Synergy of Optimization and Machine Learning.- Chapter 2. Metaheuristic and Evolutionary Algorithms in Ex-plainable Artificial Intelligence.- Chapter 3. Evolutionary Dynamic Optimization and Machine Learning.- Chapter 4. Evolutionary Techniques in making Efficient Deep-Learning Framework: A Review.- Chapter 5. Integrating Particle Swarm Optimization with Reinforcement Learning: A Promising Approach to Optimization.- Chapter 6. Synergies between Natural Language Processing and Swarm Intelligence Optimization: A Comprehensive Overview.- Chapter 7. Heuristics-based Hyperparameter Tuning for Transfer Learning Algorithms.- Chapter 8. Machine Learning Applications of Evolutionary and Metaheuristic Algorithms.- Chapter 9. Machine Learning Assisted Metaheuristic Based Optimization of Mixed Suspension Mixed Product Removal Process.- Chapter 10. Machine Learning based Intelligent RPL Attack Detection System for IoT Networks.- Chapter 11. Shallow and Deep Evolutionary Neural Networks applications in Solid Mechanics.- Chapter 12. Polymer and nanocomposite Informatics: Recent Applications of Artificial Intelligence and Data Repositories.- Chapter 13. Synergistic combination of machine learning and evolutionary and heuristic algorithms for handling imbalance in biological and biomedical datasets.
