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Random forests-based extreme learning machine ensemble for multi-regime time series prediction

  • Published:2017-10 Issue: Volume:83 Page:164-176
  • ISSN:0957-4174
  • Container-title:Expert Systems with Applications
  • language:en
  • Short-container-title:Expert Systems with Applications

Author:

Lin Lin,Wang Fang,Xie Xiaolong,Zhong Shisheng

Funder

National Natural Science Foundation of China

Specialized Research Fund for the Doctoral Program of Higher Education, China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference41 articles.

1. Markov-switching autoregressive models for wind time series;Ailliot;Environmental Modelling & Software,2012

2. The sample complexity of pattern classification with neural networks: The size of the weights is more important than the size of the network;Bartlett;IEEE Transactions on Information Theory,1998

3. Bagging predictors;Breiman;Machine Learning,1996

4. Random forests;Breiman;Machine Learning,2001

5. Voting based extreme learning machine;Cao;Information Sciences,2012

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