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Machine Learning Hybridization and Optimization for Intelligent Applications

Machine Learning Hybridization and Optimization for Intelligent Applications

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  • More about Machine Learning Hybridization and Optimization for Intelligent Applications

Format: Paperback / softback
Length: 338 pages
Publication date: 21 June 2026
Publisher: Taylor & Francis Ltd

This book discusses state-of-the-art reviews of the existing machine-learning techniques and algorithms including hybridizations and optimizations. It is aimed at graduate students and researchers in machine learning, artificial intelligence, and electrical engineering.

Weight: 680g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032737645

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