Orthogonal Basis Extreme Learning Algorithm and Function Approximation
Paper
Paper/Presentation Title | Orthogonal Basis Extreme Learning Algorithm and Function Approximation |
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Presentation Type | Paper |
Authors | Li, Ying, Li, Yan and Wan, Xiangkui |
Journal or Proceedings Title | Proceedings of the 12th International Symposium of Neural Networks (ISNN 2015) |
Journal Citation | 9377, pp. 355-364 |
Number of Pages | 10 |
Year | 2015 |
Publisher | Springer |
Place of Publication | Switzerland |
ISBN | 978-3-319-25392-3 |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-319-25393-0_39 |
Web Address (URL) of Paper | https://link.springer.com/chapter/10.1007/978-3-319-25393-0_39 |
Web Address (URL) of Conference Proceedings | https://link.springer.com/book/10.1007/978-3-319-25393-0 |
Conference/Event | 12th International Symposium of Neural Networks (ISNN 2015) |
Event Details | 12th International Symposium of Neural Networks (ISNN 2015) Delivery In person Event Date 15 to end of 18 Oct 2015 Event Location Jeju, Korea |
Abstract | A new algorithm for single hidden layer feedforward neural networks (SLFN), Orthogonal Basis Extreme Learning (OBEL) algorithm, is proposed and the algorithm derivation is given in the paper. The algorithm can decide both the NNs parameters and the neuron number of hidden layer(s) during training while providing extreme fast learning speed. It will provide a practical way to develop NNs. The simulation results of function approximation showed that the algorithm is effective and feasible with good accuracy and adaptability. |
Keywords | Neural network; orthogonal basis extreme learning; function approximation |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 460306. Image processing |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Series | Lecture Notes in Computer Science |
Byline Affiliations | University of Southern Queensland |
Hubei University of Technology, China |
https://research.usq.edu.au/item/v097v/orthogonal-basis-extreme-learning-algorithm-and-function-approximation
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