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Proceedings of ELM-2016 - 9783319861579

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
Book Title
Proceedings of ELM-2016
ISBN
9783319861579
Publication Name
Proceedings of Elm-2016
Publisher
Springer International Publishing A&G
Subject
Computer Science
Publication Year
2018
Series
Proceedings in Adaptation, Learning and Optimization
Type
Textbook
Format
Paperback
Language
English
Item Height
235 mm
Author
Jiuwen Cao, Erik Cambria, Amaury Lendasse, Chi Man Vong, Yoan Miche
Item Weight
4569 g
Item Width
155 mm
Number of Pages
285 Pages

About this product

Product Information

This book contains some selected papers from the International Conference on Extreme Learning Machine 2016, which was held in Singapore, December 13-15, 2016. This conference will provide 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. Extreme Learning Machines (ELM) aims to break the barriers between the conventional artificial learning techniques and biological learning mechanism. ELM represents a suite of (machine or possibly biological) learning techniques in which hidden neurons need not be tuned. ELM learning theories show that very effective learning algorithms can be derived based on randomly generated hidden neurons (with almost any nonlinear piecewise activation functions), independent of training data and 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. ELM offers significant advantages over conventional neural network learning algorithms such as fast learning speed, ease of implementation, and minimal need for human intervention. ELM also shows potential as a viable alternative technique for large-scale computing and artificial intelligence. This book covers theories, algorithms ad applications of ELM. It gives readers a glance of the most recent advances of ELM.

Product Identifiers

Publisher
Springer International Publishing A&G
ISBN-13
9783319861579
eBay Product ID (ePID)
23046641241

Product Key Features

Number of Pages
285 Pages
Language
English
Publication Name
Proceedings of Elm-2016
Publication Year
2018
Subject
Computer Science
Type
Textbook
Author
Jiuwen Cao, Erik Cambria, Amaury Lendasse, Chi Man Vong, Yoan Miche
Series
Proceedings in Adaptation, Learning and Optimization
Format
Paperback

Dimensions

Item Height
235 mm
Item Weight
4569 g
Item Width
155 mm
Volume
9

Additional Product Features

Editor
Chi Man Vong, Jiuwen Cao, Amaury Lendasse, Erik Cambria, Yoan Miche
Country/Region of Manufacture
Switzerland

Item description from the seller

Business seller information

Value Added Tax Number:
  • GB 976952259
BOOKS etc.

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