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Proceedings of ELM 2022: Theory, Algorithms and Applications: Proceedings in Adaptation, Learning and Optimization, cartea 18

Editat de Kaj-Mikael Björk
en Limba Engleză Hardback – 24 mar 2024
This book contains selected papers from the 12th International Conference on Extreme Learning Machines 2022. Extreme learning machines (ELMs) continue to be an important complement to the many deep learning models you can find in the machine learning domain. ELM is fast and therefore suitable for many applications (not only in edge computing), and therefore there is a need to gather examples of possible applications. These proceedings, for the ELM 2022 conference, cover several application areas with relevant topics, where ELM can be used and has been used with great success. Here you will find several new areas (gaming, for instance) as well as improved concepts for existing application areas (signature forgery, for instance), where ELM has been implemented. In addition, some method improvements are also covered in this book, more specifically on the topic of 2nd-order Ordinary Differential Equations (ODEs).

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Specificații

ISBN-13: 9783031550553
ISBN-10: 3031550552
Ilustrații: V, 81 p. 32 illus., 31 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.3 kg
Ediția:2024
Editura: Springer Nature Switzerland
Colecția Springer
Seria Proceedings in Adaptation, Learning and Optimization

Locul publicării:Cham, Switzerland

Cuprins

Application of ELM model to the motion detection of vehicles under moving background.- Distributed memory-efficient algorithm for Extreme Learning Machines based on Spark.- Does streaming affect video game popularity?.- Massive Offline Signature Forgery Detection with Extreme Learning Machines.- Importance of the Activation Function in Extreme Learning Machine for Acid Sulfate Soil Classification.

Textul de pe ultima copertă

This book contains selected papers from the 12th International Conference on Extreme Learning Machines 2022. Extreme learning machines (ELMs) continue to be an important complement to the many deep learning models you can find in the machine learning domain. ELM is fast and therefore suitable for many applications (not only in edge computing), and therefore there is a need to gather examples of possible applications. These proceedings, for the ELM 2022 conference, cover several application areas with relevant topics, where ELM can be used and has been used with great success. Here you will find several new areas (gaming, for instance) as well as improved concepts for existing application areas (signature forgery, for instance), where ELM has been implemented. In addition, some method improvements are also covered in this book, more specifically on the topic of 2nd-order Ordinary Differential Equations (ODEs).


Caracteristici

Provides recent research on Extreme Learning Machines (ELMs) Contains selected papers from the 12th International Conference on Extreme Learning Machines 2022 Presents theory, algorithms, and applications of ELM