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Optimization Algorithms in Machine Learning

Optimization Algorithms in Machine Learning Computer Science

Optimization Algorithms in Machine Learning

0 - Default Title
Description
This book explores the development of several new learning algorithms that utilize recent optimization techniques and meta-heuristics. It addresses well-known models such as particle swarm optimization, genetic algorithm, ant colony optimization, evolutionary strategy, population-based incremental learning, and grey wolf optimizer for training neural networks. Additionally, the book examines the challenges associated with these processes in detail. This volume will serve as a valuable reference for individuals in both academia and industry.
Product details
Number of Pages:
200
Release Date:
2025-05-21
Publication Date:
2025-05-21
Publisher:
Springer
Languages:
Original: English
ISBN10:
9819638488
ISBN13:
9789819638482
GPSR Manufacturer Reference:
Weight:
505 g
Height:
160 cm
Width:
241 cm
Thickness:
16 cm
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