Extreme learning machine: algorithm, theory and applications

Extreme learning machine (ELM) is a new learning algorithm for the single hidden layer feedforward neural networks. Compared with the conventional neural network learning algorithm it overcomes the slow training speed and over-fitting problems. ELM is based on empirical risk minimization theory and...

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Bibliographic Details
Published in:	The Artificial intelligence review Vol. 44; no. 1; pp. 103 - 115
Main Authors:	Ding, Shifei, Zhao, Han, Zhang, Yanan, Xu, Xinzheng, Nie, Ru
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Netherlands 01.06.2015 Springer Springer Nature B.V
Subjects:	Algorithms Application Artificial Intelligence Artificial neural networks Computer Science Data mining Information processing Learning Machine learning Minimization Neural networks Optimization Pattern recognition R&D Research & development Robot learning Robust control Robustness Theory Tracking Extreme learning machine (ELM) Local minimum Over-fitting Single-hidden layer feedforward neural networks (SLFNs) Least-squares
ISSN:	0269-2821, 1573-7462
Online Access:	Get full text
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