Machine Learning and Metaheuristics: Methods and Analysis / Algorithms for Intelligent Systems (PDF)
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This book takes a balanced approach between theoretical understanding and real-time applications. All the topics included real-world problems which show how to explore, build, evaluate, and optimize machine learning models fusion with metaheuristic algorithms. Optimization algorithms classified into two broad categories as deterministic and probabilistic algorithms. The content of book elaborates optimization algorithms such as particle swarm optimization, ant colony optimization, whale search algorithm, and cuckoo search algorithm.
Essam H. Houssein received his Ph.D. degree in Computer Science (AI). He is an associate professor at the Faculty of Computers and Information, Minia University, Egypt. He is the founder and the chair of the Artificial Intelligence Research (AIR) Group in Egypt. He has more than 200 scientific research papers published in prestigious international journals in the topics for instance meta-heuristics optimization, artificial intelligence, image processing, IoT, and its applications. He serves as a reviewer of more than 100 journals (Elsevier, Springer, IEEE, etc.). His research interests include WSNs, IoT, AI, bioinformatics and biomedical, image processing, data mining, and meta-heuristics optimization techniques.
- 2023, 1st ed. 2023, 295 Seiten, Englisch
- Herausgegeben: Uma N. Dulhare, Essam Halim Houssein
- Verlag: Springer Nature Singapore
- ISBN-10: 9819966450
- ISBN-13: 9789819966455
- Erscheinungsdatum: 01.11.2023
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- Dateiformat: PDF
- Grösse: 6.45 MB
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