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Machine Learning and Optimization for Engineering Design

This book aims to provide a collection of state-of-the-art scientific and technical research papers related to machine learning-based algorithms in the field of optimization and engineering design. The theoretical and practical development for numerous engineering applications such as smart homes, I...

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Bibliografische gegevens
Coauteur:	SpringerLink (Online service)
Andere auteurs:	Shastri, Apoorva S. (Redacteur), Shaw, Kailash (Redacteur), Singh, Mangal (Redacteur)
Formaat:	Elektronisch E-boek
Taal:	Engels
Gepubliceerd in:	Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Editie:	1st ed. 2023.
Reeks:	Engineering Optimization: Methods and Applications,
Onderwerpen:	Machine learning. Engineering design. Mathematical optimization. Machine Learning. Engineering Design. Optimization.
Online toegang:	https://doi.org/10.1007/978-981-99-7456-6
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