Klang River Level Forecasting Using ARIMA and ANFIS Models
Selection of the right modeling technique is always a challenging issue because every model can produce only an approximation of the reality it is attempting to illustrate. As a result, model performance in a specific situation is the only criterion that confirms the model's applicability in th...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/28566/ http://psasir.upm.edu.my/id/eprint/28566/1/Klang%20River%20Level%20Forecasting%20Using%20ARIMA%20and%20ANFIS%20Models.pdf |
| _version_ | 1848846152318844928 |
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| author | Lee, Teang Shui Galavi, Hadi Mirzaei, Majid Valizadeh, Nariman |
| author_facet | Lee, Teang Shui Galavi, Hadi Mirzaei, Majid Valizadeh, Nariman |
| author_sort | Lee, Teang Shui |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Selection of the right modeling technique is always a challenging issue because every model can produce only an approximation of the reality it is attempting to illustrate. As a result, model performance in a specific situation is the only criterion that confirms the model's applicability in that particular situation. This study investigated the applicability of the adaptive neuro-fuzzy inference system (ANFIS) and the autoregressive integrated moving average (ARIMA) models in water-level modeling. Results showed a definite preference for the ANFIS model against the simple-ARIMA model, but an updated-ARIMA model outperformed ANFIS. A mean absolute error of < 1% in each model confirmed the applicability of these models in predicting the water level in the Klang River in Malaysia. On the basis of the obtained prediction accuracy level, the updated-ARIMA and ANFIS models are introduced as reliable and accurate models for prompt decision-making, planning, and urgent managing of water resources in crisis. |
| first_indexed | 2025-11-15T08:58:10Z |
| format | Article |
| id | upm-28566 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T08:58:10Z |
| publishDate | 2013 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-285662015-10-01T08:06:37Z http://psasir.upm.edu.my/id/eprint/28566/ Klang River Level Forecasting Using ARIMA and ANFIS Models Lee, Teang Shui Galavi, Hadi Mirzaei, Majid Valizadeh, Nariman Selection of the right modeling technique is always a challenging issue because every model can produce only an approximation of the reality it is attempting to illustrate. As a result, model performance in a specific situation is the only criterion that confirms the model's applicability in that particular situation. This study investigated the applicability of the adaptive neuro-fuzzy inference system (ANFIS) and the autoregressive integrated moving average (ARIMA) models in water-level modeling. Results showed a definite preference for the ANFIS model against the simple-ARIMA model, but an updated-ARIMA model outperformed ANFIS. A mean absolute error of < 1% in each model confirmed the applicability of these models in predicting the water level in the Klang River in Malaysia. On the basis of the obtained prediction accuracy level, the updated-ARIMA and ANFIS models are introduced as reliable and accurate models for prompt decision-making, planning, and urgent managing of water resources in crisis. 2013 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/28566/1/Klang%20River%20Level%20Forecasting%20Using%20ARIMA%20and%20ANFIS%20Models.pdf Lee, Teang Shui and Galavi, Hadi and Mirzaei, Majid and Valizadeh, Nariman (2013) Klang River Level Forecasting Using ARIMA and ANFIS Models. Journal American Water Works Association, 105 (9). pp. 496-506. ISSN 2164-4535 10.5942/jawwa.2013.105.0106 English |
| spellingShingle | Lee, Teang Shui Galavi, Hadi Mirzaei, Majid Valizadeh, Nariman Klang River Level Forecasting Using ARIMA and ANFIS Models |
| title | Klang River Level Forecasting Using ARIMA and ANFIS Models |
| title_full | Klang River Level Forecasting Using ARIMA and ANFIS Models |
| title_fullStr | Klang River Level Forecasting Using ARIMA and ANFIS Models |
| title_full_unstemmed | Klang River Level Forecasting Using ARIMA and ANFIS Models |
| title_short | Klang River Level Forecasting Using ARIMA and ANFIS Models |
| title_sort | klang river level forecasting using arima and anfis models |
| url | http://psasir.upm.edu.my/id/eprint/28566/ http://psasir.upm.edu.my/id/eprint/28566/ http://psasir.upm.edu.my/id/eprint/28566/1/Klang%20River%20Level%20Forecasting%20Using%20ARIMA%20and%20ANFIS%20Models.pdf |