Advanced Machine Learning with Evolutionary and Metaheuristic Techniques (2024) (Computational Intelligence Methods and Applications)

By: Jayaraman Valadi and Krishna Pratap Singh and Muneendra Ojha and Patrick Siarry

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Synopsis: This book delves into practical implementation of evolutionary and metaheuristic algorithms to advance the capacity of machine learning. The readers can gain insight into the capabilities of data-driven evolutionary optimization in materials mechanics, and optimize your learning algorithms for maximum efficiency. Or unlock the strategies behind hyperparameter optimization to enhance your transfer learning algorithms, yielding remarkable outcomes. Or embark on an illuminating journey through evolutionary techniques designed for constructing deep-learning frameworks. The book also introduces an intelligent RPL attack detection system tailored for IoT networks. Explore a promising avenue of optimization by fusing Particle Swarm Optimization with Reinforcement Learning. It uncovers the indispensable role of metaheuristics in supervised machine learning algorithms. Ultimately, this book bridges the realms of evolutionary dynamic optimization andmachine learning, paving the way for pioneering innovations in the field.

Book Quality:: Publisher Quality
ISBN-13:: 9789819997183
Related ISBNs:: 9789819997176
Publisher:: Springer Nature Singapore
Date of Addition:: 05/24/24
Copyrighted By:: The Editor
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Computers and Internet, Mathematics and Statistics, Medicine
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.
Edited by:: Jayaraman Valadi
Edited by:: Krishna Pratap Singh
Edited by:: Muneendra Ojha
Edited by:: Patrick Siarry