Adaptive Neuro Fuzzy Inference System (ANFIS) and Artificial Neural Networks (ANNs) for structural damage identification
In this paper, adaptive neuro-fuzzy inference system (ANFIS) and artificial neural networks (ANNs) techniques are developed and applied to identify damage in a model steel girder bridge using dynamic parameters. The required data in the form of natural frequencies are obtained from experimental moda...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Published: |
2013
|
| Subjects: |
| _version_ | 1825719639256072192 |
|---|---|
| author | Hakim, S.J.S. Abdul Razak, H. |
| author_facet | Hakim, S.J.S. Abdul Razak, H. |
| author_sort | Hakim, S.J.S. |
| collection | UM |
| description | In this paper, adaptive neuro-fuzzy inference system (ANFIS) and artificial neural networks (ANNs) techniques are developed and applied to identify damage in a model steel girder bridge using dynamic parameters. The required data in the form of natural frequencies are obtained from experimental modal analysis. A comparative study is made using the ANNs and ANFIS techniques and results showed that both ANFIS and ANN present good predictions. However the proposed ANFIS architecture using hybrid learning algorithm was found to perform better than the multilayer feedforward ANN which learns using the backpropagation algorithm. This paper also highlights the concept of ANNs and ANFIS followed by the detail presentation of the experimental modal analysis for natural frequencies extraction. |
| first_indexed | 2024-03-06T05:22:48Z |
| format | Article |
| id | um.eprints-9054 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T05:22:48Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | um.eprints-90542014-10-29T06:44:07Z http://eprints.um.edu.my/9054/ Adaptive Neuro Fuzzy Inference System (ANFIS) and Artificial Neural Networks (ANNs) for structural damage identification Hakim, S.J.S. Abdul Razak, H. TA Engineering (General). Civil engineering (General) In this paper, adaptive neuro-fuzzy inference system (ANFIS) and artificial neural networks (ANNs) techniques are developed and applied to identify damage in a model steel girder bridge using dynamic parameters. The required data in the form of natural frequencies are obtained from experimental modal analysis. A comparative study is made using the ANNs and ANFIS techniques and results showed that both ANFIS and ANN present good predictions. However the proposed ANFIS architecture using hybrid learning algorithm was found to perform better than the multilayer feedforward ANN which learns using the backpropagation algorithm. This paper also highlights the concept of ANNs and ANFIS followed by the detail presentation of the experimental modal analysis for natural frequencies extraction. 2013 Article PeerReviewed Hakim, S.J.S. and Abdul Razak, H. (2013) Adaptive Neuro Fuzzy Inference System (ANFIS) and Artificial Neural Networks (ANNs) for structural damage identification. Structural Engineering and Mechanics, 45 (6). pp. 779-802. ISSN 1225-4568, http://www.koreascience.or.kr/article/ArticleFullRecord.jsp?cn=KJKHB9₂₀₁₃v45n6₇₇₉ |
| spellingShingle | TA Engineering (General). Civil engineering (General) Hakim, S.J.S. Abdul Razak, H. Adaptive Neuro Fuzzy Inference System (ANFIS) and Artificial Neural Networks (ANNs) for structural damage identification |
| title | Adaptive Neuro Fuzzy Inference System (ANFIS) and Artificial Neural Networks (ANNs) for structural damage identification |
| title_full | Adaptive Neuro Fuzzy Inference System (ANFIS) and Artificial Neural Networks (ANNs) for structural damage identification |
| title_fullStr | Adaptive Neuro Fuzzy Inference System (ANFIS) and Artificial Neural Networks (ANNs) for structural damage identification |
| title_full_unstemmed | Adaptive Neuro Fuzzy Inference System (ANFIS) and Artificial Neural Networks (ANNs) for structural damage identification |
| title_short | Adaptive Neuro Fuzzy Inference System (ANFIS) and Artificial Neural Networks (ANNs) for structural damage identification |
| title_sort | adaptive neuro fuzzy inference system anfis and artificial neural networks anns for structural damage identification |
| topic | TA Engineering (General). Civil engineering (General) |
| work_keys_str_mv | AT hakimsjs adaptiveneurofuzzyinferencesystemanfisandartificialneuralnetworksannsforstructuraldamageidentification AT abdulrazakh adaptiveneurofuzzyinferencesystemanfisandartificialneuralnetworksannsforstructuraldamageidentification |