Wavelet network: online sequential extreme learning machine for nonlinear dynamic systems identification
A single hidden layer feedforward neural network (SLFN) with online sequential extreme learning machine (OSELM) algorithm has been introduced and applied in many regression problems successfully. However, using SLFN with OSELM as black-box for nonlinear system identification may lead to building mod...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Hindawi Publishing Corporation
2015
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| Online Access: | http://psasir.upm.edu.my/id/eprint/46889/ http://psasir.upm.edu.my/id/eprint/46889/1/Wavelet%20network%20online%20sequential%20extreme%20learning%20machine%20for%20nonlinear%20dynamic%20systems%20identification.pdf |
| _version_ | 1848850756320362496 |
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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 | A single hidden layer feedforward neural network (SLFN) with online sequential extreme learning machine (OSELM) algorithm has been introduced and applied in many regression problems successfully. However, using SLFN with OSELM as black-box for nonlinear system identification may lead to building models for the identified plant with inconsistency responses from control perspective. The reason can refer to the random initialization procedure of the SLFN hidden node parameters with OSELM algorithm. In this paper, a single hidden layer feedforward wavelet network (WN) is introduced with OSELM for nonlinear system identification aimed at getting better generalization performances by reducing the effect of a random initialization procedure. |
| first_indexed | 2025-11-15T10:11:21Z |
| format | Article |
| id | upm-46889 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:11:21Z |
| publishDate | 2015 |
| publisher | Hindawi Publishing Corporation |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-468892022-05-25T03:43:48Z http://psasir.upm.edu.my/id/eprint/46889/ Wavelet network: online sequential extreme learning machine for nonlinear dynamic systems identification Mohammed Salih, Dhiadeen Mohd Noor, Samsul Bahari Marhaban, Mohammad Hamiruce Raja Ahmad, Raja Mohd Kamil A single hidden layer feedforward neural network (SLFN) with online sequential extreme learning machine (OSELM) algorithm has been introduced and applied in many regression problems successfully. However, using SLFN with OSELM as black-box for nonlinear system identification may lead to building models for the identified plant with inconsistency responses from control perspective. The reason can refer to the random initialization procedure of the SLFN hidden node parameters with OSELM algorithm. In this paper, a single hidden layer feedforward wavelet network (WN) is introduced with OSELM for nonlinear system identification aimed at getting better generalization performances by reducing the effect of a random initialization procedure. Hindawi Publishing Corporation 2015 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/46889/1/Wavelet%20network%20online%20sequential%20extreme%20learning%20machine%20for%20nonlinear%20dynamic%20systems%20identification.pdf Mohammed Salih, Dhiadeen and Mohd Noor, Samsul Bahari and Marhaban, Mohammad Hamiruce and Raja Ahmad, Raja Mohd Kamil (2015) Wavelet network: online sequential extreme learning machine for nonlinear dynamic systems identification. Advances in Artificial Intelligence, 2015. art. no. 184318. pp. 1-10. ISSN 1687-7470 https://www.hindawi.com/journals/aai/2015/184318/?utm_source=google&utm_medium=cpc&utm_campaign=HDW_MRKT_GBL_SUB_ADWO_PAI_DYNA_JOUR_X_PJ_GROUP3&gclid=Cj0KCQjwz7uRBhDRARIsAFqjulnD-BYZoeyJPJAJ_SGWo22s5SKnuLA6LDcLVSV8I82px1lNgVhxlYEaAtw8EALw_wcB 10.1155/2015/184318 |
| spellingShingle | Mohammed Salih, Dhiadeen Mohd Noor, Samsul Bahari Marhaban, Mohammad Hamiruce Raja Ahmad, Raja Mohd Kamil Wavelet network: online sequential extreme learning machine for nonlinear dynamic systems identification |
| title | Wavelet network: online sequential extreme learning machine for nonlinear dynamic systems identification |
| title_full | Wavelet network: online sequential extreme learning machine for nonlinear dynamic systems identification |
| title_fullStr | Wavelet network: online sequential extreme learning machine for nonlinear dynamic systems identification |
| title_full_unstemmed | Wavelet network: online sequential extreme learning machine for nonlinear dynamic systems identification |
| title_short | Wavelet network: online sequential extreme learning machine for nonlinear dynamic systems identification |
| title_sort | wavelet network: online sequential extreme learning machine for nonlinear dynamic systems identification |
| url | http://psasir.upm.edu.my/id/eprint/46889/ http://psasir.upm.edu.my/id/eprint/46889/ http://psasir.upm.edu.my/id/eprint/46889/ http://psasir.upm.edu.my/id/eprint/46889/1/Wavelet%20network%20online%20sequential%20extreme%20learning%20machine%20for%20nonlinear%20dynamic%20systems%20identification.pdf |