Modeling of Direction-Dependent Processes Using Wiener Models and Neural Networks With Nonlinear Output Error Structure
The modeling of direction-dependent dynamic processes using Wiener models and recurrent neural network models with nonlinear output error structure is considered. The results obtained are compared for several simulated first-order and second-order processes and using three different types of input s...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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2004
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| Subjects: | |
| Online Access: | http://shdl.mmu.edu.my/2472/ http://shdl.mmu.edu.my/2472/1/1736.pdf |
| _version_ | 1848790063619506176 |
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| author | Tan, A.H. Godfrey, K. |
| author_facet | Tan, A.H. Godfrey, K. |
| author_sort | Tan, A.H. |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | The modeling of direction-dependent dynamic processes using Wiener models and recurrent neural network models with nonlinear output error structure is considered. The results obtained are compared for several simulated first-order and second-order processes and using three different types of input signals: a pseudorandom binary signal, an inverse-repeat pseudorandom binary signal and a multisine (sum of harmonics) signal. Experimental results on a real system, namely an electronic nose system, are also presented to illustrate the applicability of the techniques discussed. |
| first_indexed | 2025-11-14T18:06:40Z |
| format | Article |
| id | mmu-2472 |
| institution | Multimedia University |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T18:06:40Z |
| publishDate | 2004 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-24722011-08-22T01:48:49Z http://shdl.mmu.edu.my/2472/ Modeling of Direction-Dependent Processes Using Wiener Models and Neural Networks With Nonlinear Output Error Structure Tan, A.H. Godfrey, K. TA Engineering (General). Civil engineering (General) The modeling of direction-dependent dynamic processes using Wiener models and recurrent neural network models with nonlinear output error structure is considered. The results obtained are compared for several simulated first-order and second-order processes and using three different types of input signals: a pseudorandom binary signal, an inverse-repeat pseudorandom binary signal and a multisine (sum of harmonics) signal. Experimental results on a real system, namely an electronic nose system, are also presented to illustrate the applicability of the techniques discussed. 2004-06 Article NonPeerReviewed application/pdf en http://shdl.mmu.edu.my/2472/1/1736.pdf Tan, A.H. and Godfrey, K. (2004) Modeling of Direction-Dependent Processes Using Wiener Models and Neural Networks With Nonlinear Output Error Structure. IEEE Transactions on Instrumentation and Measurement, 53 (3). pp. 744-753. ISSN 0018-9456 http://dx.doi.org/10.1109/TIM.2004.827083 doi:10.1109/TIM.2004.827083 doi:10.1109/TIM.2004.827083 |
| spellingShingle | TA Engineering (General). Civil engineering (General) Tan, A.H. Godfrey, K. Modeling of Direction-Dependent Processes Using Wiener Models and Neural Networks With Nonlinear Output Error Structure |
| title | Modeling of Direction-Dependent Processes Using Wiener Models and Neural Networks With Nonlinear Output Error Structure |
| title_full | Modeling of Direction-Dependent Processes Using Wiener Models and Neural Networks With Nonlinear Output Error Structure |
| title_fullStr | Modeling of Direction-Dependent Processes Using Wiener Models and Neural Networks With Nonlinear Output Error Structure |
| title_full_unstemmed | Modeling of Direction-Dependent Processes Using Wiener Models and Neural Networks With Nonlinear Output Error Structure |
| title_short | Modeling of Direction-Dependent Processes Using Wiener Models and Neural Networks With Nonlinear Output Error Structure |
| title_sort | modeling of direction-dependent processes using wiener models and neural networks with nonlinear output error structure |
| topic | TA Engineering (General). Civil engineering (General) |
| url | http://shdl.mmu.edu.my/2472/ http://shdl.mmu.edu.my/2472/ http://shdl.mmu.edu.my/2472/ http://shdl.mmu.edu.my/2472/1/1736.pdf |