Wavelet network based online sequential extreme learning machine for dynamic system modeling
Wavelet network (WN) has been introduced in many applications of dynamic systems modeling with different learning algorithms. In this paper an online sequential extreme learning machine (OSELM) algorithm adopted as training procedure for wavelet network based on serial-parallel nonlinear autoregres...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Published: |
IEEE
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/41440/ |
| _version_ | 1848849696009748480 |
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| author | Mohammed Salih, Dhiadeen Mohd Noor, Samsul Bahari Marhaban, Mohammad Hamiruce Raja Ahmad, Raja Mohd Kamil |
| author_facet | Mohammed Salih, Dhiadeen Mohd Noor, Samsul Bahari Marhaban, Mohammad Hamiruce Raja Ahmad, Raja Mohd Kamil |
| author_sort | Mohammed Salih, Dhiadeen |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Wavelet network (WN) has been introduced in many applications of dynamic systems modeling with different
learning algorithms. In this paper an online sequential extreme learning machine (OSELM) algorithm adopted as training procedure for wavelet network based on serial-parallel nonlinear autoregressive exogenous (NARX) model. The proposed model used as system identification for nonlinear dynamic systems. The main advantage of OSELM over conventional algorithms is the ability of updating network weights sequentially through data sample-by-sample in a single learning step. This attains good performance at extremely fast learning. The initial kernel parameters of WN played a big role to ensure fast and better learning performance. Simulation of the proposed scheme applied to nonlinear dynamic systems validates that WN-OSELM
is superior in terms of identification accuracy and fast learning ability compared to NN-OSELM. |
| first_indexed | 2025-11-15T09:54:29Z |
| format | Conference or Workshop Item |
| id | upm-41440 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T09:54:29Z |
| publishDate | 2013 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-414402016-06-01T02:16:23Z http://psasir.upm.edu.my/id/eprint/41440/ Wavelet network based online sequential extreme learning machine for dynamic system modeling Mohammed Salih, Dhiadeen Mohd Noor, Samsul Bahari Marhaban, Mohammad Hamiruce Raja Ahmad, Raja Mohd Kamil Wavelet network (WN) has been introduced in many applications of dynamic systems modeling with different learning algorithms. In this paper an online sequential extreme learning machine (OSELM) algorithm adopted as training procedure for wavelet network based on serial-parallel nonlinear autoregressive exogenous (NARX) model. The proposed model used as system identification for nonlinear dynamic systems. The main advantage of OSELM over conventional algorithms is the ability of updating network weights sequentially through data sample-by-sample in a single learning step. This attains good performance at extremely fast learning. The initial kernel parameters of WN played a big role to ensure fast and better learning performance. Simulation of the proposed scheme applied to nonlinear dynamic systems validates that WN-OSELM is superior in terms of identification accuracy and fast learning ability compared to NN-OSELM. IEEE 2013 Conference or Workshop Item NonPeerReviewed Mohammed Salih, Dhiadeen and Mohd Noor, Samsul Bahari and Marhaban, Mohammad Hamiruce and Raja Ahmad, Raja Mohd Kamil (2013) Wavelet network based online sequential extreme learning machine for dynamic system modeling. In: 9th Asian Control Conference (ASCC 2013), 23-26 June 2013, Istanbul, Turkey. (pp. 1-5). 10.1109/ASCC.2013.6606139 |
| spellingShingle | Mohammed Salih, Dhiadeen Mohd Noor, Samsul Bahari Marhaban, Mohammad Hamiruce Raja Ahmad, Raja Mohd Kamil Wavelet network based online sequential extreme learning machine for dynamic system modeling |
| title | Wavelet network based online sequential extreme learning machine for dynamic system modeling |
| title_full | Wavelet network based online sequential extreme learning machine for dynamic system modeling |
| title_fullStr | Wavelet network based online sequential extreme learning machine for dynamic system modeling |
| title_full_unstemmed | Wavelet network based online sequential extreme learning machine for dynamic system modeling |
| title_short | Wavelet network based online sequential extreme learning machine for dynamic system modeling |
| title_sort | wavelet network based online sequential extreme learning machine for dynamic system modeling |
| url | http://psasir.upm.edu.my/id/eprint/41440/ http://psasir.upm.edu.my/id/eprint/41440/ |