Studies in computational intelligence machine learning paradigms theory and application

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The book focuses on machine learning. The second part then describes the application of machine learning in the classification problem, while the third part presents an overview of real-world applications of swarm-based optimization algorithms. The concept of machine learning (ML) is not new in the field of computing.

The book focuses on machine learning. Divided into three parts, the first part discusses the feature selection problem. The second part then describes the application of machine learning in the classification problem, while the third part presents an overview of real-world applications of swarm-based optimization algorithms. The concept of machine learning (ML) is not new in the field of computing. However, due to the ever-changing nature of requirements in today’s world it has emerged in the form of completely new avatars. Now everyone is talking about ML-based solution strategies for a given problem set. The book includes research articles and expository papers on the theory and algorithms of machine learning and bio-inspiring optimization, as well as papers on numerical experiments and real-world applications.

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Taal: en

Bindwijze: Hardcover

Oorspronkelijke releasedatum: 21 december 2018

Aantal pagina's: 474

Illustraties: Nee

Hoofdredacteur: Aboul Ella Hassanien

Hoofduitgeverij: Springer Nature Switzerland AG

Editie: 1

Extra groot lettertype: Nee

Product breedte: 155 mm

Product lengte: 235 mm

Verpakking breedte: 155 mm

Verpakking hoogte: 27 mm

Verpakking lengte: 235 mm

Verpakkingsgewicht: 0.89 kg

EAN: 9783030023560

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