Editors:
- Focuses on the conference theme of Big Data Analysis, Machine Learning and Biological Learning
- Results of the International Conference on Extreme Learning Machines (ELM-2015) held at Hangzhou, China, December 15-17, 2015
- Presents Theory, Algorithms and Applications
- Includes supplementary material: sn.pub/extras
Part of the book series: Proceedings in Adaptation, Learning and Optimization (PALO, volume 7)
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (41 papers)
-
Front Matter
About this book
This book contains some selected papers from the International Conference on Extreme Learning Machine 2015, which was held in Hangzhou, China, December 15-17, 2015. This conference brought together researchers and engineers to share and exchange R&D experience on both theoretical studies and practical applications of the Extreme Learning Machine (ELM) technique and brain learning.
This book covers theories, algorithms ad applications of ELM. It gives readers a glance of the most recent advances of ELM.
Editors and Affiliations
-
Institute of Information and Contro, Hangzhou Dianzi University, Zhejiang, China
Jiuwen Cao
-
Nanyang Technological University, Singapore, Singapore
Kezhi Mao
-
ECE, U of Windsor, WINDSOR, Canada
Jonathan Wu
-
Dept of Mechanical and Industrial Engg, University of Iowa, Iowa City, USA
Amaury Lendasse
Bibliographic Information
Book Title: Proceedings of ELM-2015 Volume 2
Book Subtitle: Theory, Algorithms and Applications (II)
Editors: Jiuwen Cao, Kezhi Mao, Jonathan Wu, Amaury Lendasse
Series Title: Proceedings in Adaptation, Learning and Optimization
DOI: https://doi.org/10.1007/978-3-319-28373-9
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-28372-2Published: 25 January 2016
Softcover ISBN: 978-3-319-80338-8Published: 30 March 2018
eBook ISBN: 978-3-319-28373-9Published: 02 January 2016
Series ISSN: 2363-6084
Series E-ISSN: 2363-6092
Edition Number: 1
Number of Pages: IX, 516
Number of Illustrations: 94 b/w illustrations, 52 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Computational Biology/Bioinformatics, Bioinformatics, Data Mining and Knowledge Discovery