OP-ELM: Optimally Pruned Extreme Learning Machine

In this brief, the optimally pruned extreme learning machine (OP-ELM) methodology is presented. It is based on the original extreme learning machine (ELM) algorithm with additional steps to make it more robust and generic. The whole methodology is presented in detail and then applied to several regr...

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Bibliographic Details
Published in:IEEE transaction on neural networks and learning systems 2010-01, Vol.21 (1), p.158-162
Main Authors: Yoan Miche, Sorjamaa, A., Bas, P., Simula, O., Jutten, C., Lendasse, A.
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Applied sciences
Artificial Intelligence
Classification
Computational complexity
Computer Science
Computer science
control theory
systems
Computer Simulation
Data processing. List processing. Character string processing
Elm
Engineering Sciences
Exact sciences and technology
extreme learning machine (ELM)
Feedforward neural networks
Humans
Learning
least angle regression (LARS)
Machine learning
Machine learning algorithms
Memory organisation. Data processing
Methodology
Multi-layer neural network
Neural networks
Neurons - physiology
Nonlinear Dynamics
Normal Distribution
Online Systems
optimally pruned extreme learning machine (OP-ELM)
Perception - physiology
Regression
Regression (Psychology)
Robustness
Signal and Image processing
Signal Processing, Computer-Assisted
Software
Support vector machine classification
Support vector machines
Time Factors
variable selection
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