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Proceedings of ELM 2022 = theory, algorithms and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Proceedings of ELM 2022/ edited by Kaj-Mikael Bjork.
Reminder of title:	theory, algorithms and applications /
remainder title:	ELM 2022
other author:	Bjork, Kaj-Mikael.
corporate name:	International Conference on Extreme Learning Machine
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	v, 81 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-55056-0
ISBN:	9783031550560

Proceedings of ELM 2022 = theory, algorithms and applications /
Proceedings of ELM 2022theory, algorithms and applications /[electronic resource] :ELM 2022edited by Kaj-Mikael Bjork. - Cham :Springer Nature Switzerland :2024. - v, 81 p. :ill., digital ;24 cm. - Proceedings in adaptation, learning and optimization,182363-6092 ;. - Proceedings in adaptation, learning and optimization ;18..

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.

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)

ISBN: 9783031550560

Standard No.: 10.1007/978-3-031-55056-0doiSubjects--Topical Terms:

606815
Artificial intelligence
--Congresses.

LC Class. No.: Q334

Dewey Class. No.: 006.3

Proceedings of ELM 2022 = theory, algorithms and applications /
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490 1 $a Proceedings in adaptation, learning and optimization, $x 2363-6092 ; $v 18
505 0 $a 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.
520 $a 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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