Advanced Machine Learning With Evolutionary And Metaheuristic Techniques

Download Advanced Machine Learning With Evolutionary And Metaheuristic Techniques full books in PDF, epub, and Kindle. Read online free Advanced Machine Learning With Evolutionary And Metaheuristic Techniques ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!


Related Books

Advanced Machine Learning with Evolutionary and Metaheuristic Techniques
Language: en
Pages: 365
Authors: Jayaraman Valadi
Categories:
Type: BOOK - Published: - Publisher: Springer Nature

DOWNLOAD EBOOK

Metaheuristics in Machine Learning: Theory and Applications
Language: en
Pages: 765
Authors: Diego Oliva
Categories: Computational intelligence
Type: BOOK - Published: - Publisher: Springer Nature

DOWNLOAD EBOOK

This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolut
Evolutionary Algorithms and Chaotic Systems
Language: en
Pages: 533
Authors: Ivan Zelinka
Categories: Computers
Type: BOOK - Published: 2010-02-23 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This book discusses the mutual intersection of two fields of research: evolutionary computation, which can handle tasks such as control of various chaotic syste
Metaheuristic and Machine Learning Optimization Strategies for Complex Systems
Language: en
Pages: 423
Authors: R., Thanigaivelan
Categories: Computers
Type: BOOK - Published: 2024-07-17 - Publisher: IGI Global

DOWNLOAD EBOOK

In contemporary engineering domains, optimization and decision-making issues are crucial. Given the vast amounts of available data, processing times and memory
Applications of Hybrid Metaheuristic Algorithms for Image Processing
Language: en
Pages: 488
Authors: Diego Oliva
Categories: Technology & Engineering
Type: BOOK - Published: 2020-03-27 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book presents a collection of the most recent hybrid methods for image processing. The algorithms included consider evolutionary, swarm, machine learning a