Téléchargez le livre : Proceedings of ELM 2021

Proceedings of ELM 2021

Theory, Algorithms and Applications de

Éditeur :

Springer


Collection :

Proceedings in Adaptation, Learning and Optimization

Paru le : 2023-01-18

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Description

This book contains papers from the International Conference on Extreme Learning Machine 2021, which was held in virtual on December 15–16, 2021. Extreme learning machines (ELM) aims to enable pervasive learning and pervasive intelligence. As advocated by ELM theories, it is exciting to see the convergence of machine learning and biological learning from the long-term point of view. ELM may be one of the fundamental `learning particles’ filling the gaps between machine learning and biological learning (of which activation functions are even unknown). ELM represents a suite of (machine and biological) learning techniques in which hidden neurons need not be tuned: inherited from their ancestors or randomly generated. ELM learning theories show that effective learning algorithms can be derived based on randomly generated hidden neurons (biological neurons, artificial neurons, wavelets, Fourier series, etc.) as long as they are nonlinear piecewise continuous, independent of training dataand application environments. Increasingly, evidence from neuroscience suggests that similar principles apply in biological learning systems. ELM theories and algorithms argue that “random hidden neurons” capture an essential aspect of biological learning mechanisms as well as the intuitive sense that the efficiency of biological learning need not rely on computing power of neurons. ELM theories thus hint at possible reasons why the brain is more intelligent and effective than current computers. This conference provides a forum for academics, researchers, and engineers to share and exchange R&D experience on both theoretical studies and practical applications of the ELM technique and brain learning.

This book covers theories, algorithms, and applications of ELM. It gives readers a glance of the most recent advances of ELM.
Pages
172 pages
Collection
Proceedings in Adaptation, Learning and Optimization
Parution
2023-01-18
Marque
Springer
EAN papier
9783031216770
EAN PDF
9783031216787
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
17
Taille du fichier
15329 Ko
Prix
220,49 €
EAN EPUB
9783031216787
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
17
Taille du fichier
20777 Ko
Prix
220,49 €

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