Handbook of Evolutionary Machine Learning

This book, written by leading international researchers of evolutionary approaches to machine learning, explores various ways evolution can address machine learning problems and improve current methods of machine learning. Topics in this book are organized into five parts. The first part introduces...

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Bibliografiske detaljer

Institution som forfatter:	SpringerLink (Online service)
Andre forfattere:	Banzhaf, Wolfgang (Editor), Machado, Penousal (Editor), Zhang, Mengjie (Editor)
Format:	Electronisk eBog
Sprog:	engelsk
Udgivet:	Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Udgivelse:	1st ed. 2024.
Serier:	Genetic and Evolutionary Computation,
Fag:	Artificial intelligence. Machine learning. Computational intelligence. Evolution (Biology). Artificial Intelligence. Machine Learning. Computational Intelligence. Evolutionary Biology.
Online adgang:	https://doi.org/10.1007/978-981-99-3814-8
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