Daily streamflow forecasting using simplified rule-based fuzzy logic system
In this study, a simplified fuzzy logic system with uniform partitions in the input space is proposed for forecasting the dailystreamflow of four river systems in Malaysia. The proposed simplified fuzzy logic system was calibrated (trained) using backpropagation(BP) and recursive prediction error (R...
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| Format: | Article |
| Language: | en |
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The Institution of Engineers, Malaysia
2005
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| Online Access: | http://eprints.utm.my/7030/1/MohdShafiekYaacob2005_DailyStreamflowForecastingUsing.pdf http://eprints.utm.my/7030/ |
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| author | Yaacob, Mohd. Shafiek Jamaluddin, Hishamuddin Harun, Sobri |
| author_facet | Yaacob, Mohd. Shafiek Jamaluddin, Hishamuddin Harun, Sobri |
| author_sort | Yaacob, Mohd. Shafiek |
| building | UTM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Malaysia |
| content_source | UTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | In this study, a simplified fuzzy logic system with uniform partitions in the input space is proposed for forecasting the dailystreamflow of four river systems in Malaysia. The proposed simplified fuzzy logic system was calibrated (trained) using backpropagation(BP) and recursive prediction error (RPE) algorithms. For each catchment, the calibration data set consisted ofthree consecutive years of daily rainfall and streamflow records. Verifications of the calibrated models were done using the data set of the following year. The performances of the simplified fuzzy logic system and the normal fuzzy logic system are compared,with each model having the same number of adjustable parameters. The results are also compared with the auto-regressive with exogenous input model. This study has shown that the proposed RPE algorithm performed better than the more popular BPalgorithm. The results show that all the simplified fuzzy logic system models registered better performance measures for the calibration data sets. However, variable results were obtained for the predictions of the verification data sets. |
| format | Article |
| id | my.utm.eprints-7030 |
| institution | Universiti Teknologi Malaysia |
| language | en |
| publishDate | 2005 |
| publisher | The Institution of Engineers, Malaysia |
| record_format | eprints |
| spelling | my.utm.eprints-70302017-04-12T00:49:23Z http://eprints.utm.my/7030/ Daily streamflow forecasting using simplified rule-based fuzzy logic system Yaacob, Mohd. Shafiek Jamaluddin, Hishamuddin Harun, Sobri TJ Mechanical engineering and machinery In this study, a simplified fuzzy logic system with uniform partitions in the input space is proposed for forecasting the dailystreamflow of four river systems in Malaysia. The proposed simplified fuzzy logic system was calibrated (trained) using backpropagation(BP) and recursive prediction error (RPE) algorithms. For each catchment, the calibration data set consisted ofthree consecutive years of daily rainfall and streamflow records. Verifications of the calibrated models were done using the data set of the following year. The performances of the simplified fuzzy logic system and the normal fuzzy logic system are compared,with each model having the same number of adjustable parameters. The results are also compared with the auto-regressive with exogenous input model. This study has shown that the proposed RPE algorithm performed better than the more popular BPalgorithm. The results show that all the simplified fuzzy logic system models registered better performance measures for the calibration data sets. However, variable results were obtained for the predictions of the verification data sets. The Institution of Engineers, Malaysia 2005-12 Article PeerReviewed application/pdf en http://eprints.utm.my/7030/1/MohdShafiekYaacob2005_DailyStreamflowForecastingUsing.pdf Yaacob, Mohd. Shafiek and Jamaluddin, Hishamuddin and Harun, Sobri (2005) Daily streamflow forecasting using simplified rule-based fuzzy logic system. The Journal of The Institution of Engineers, Malaysia, 66 (4). pp. 23-28. ISSN 0126-513X |
| spellingShingle | TJ Mechanical engineering and machinery Yaacob, Mohd. Shafiek Jamaluddin, Hishamuddin Harun, Sobri Daily streamflow forecasting using simplified rule-based fuzzy logic system |
| title | Daily streamflow forecasting using simplified
rule-based fuzzy logic system |
| title_full | Daily streamflow forecasting using simplified
rule-based fuzzy logic system |
| title_fullStr | Daily streamflow forecasting using simplified
rule-based fuzzy logic system |
| title_full_unstemmed | Daily streamflow forecasting using simplified
rule-based fuzzy logic system |
| title_short | Daily streamflow forecasting using simplified
rule-based fuzzy logic system |
| title_sort | daily streamflow forecasting using simplified
rule-based fuzzy logic system |
| topic | TJ Mechanical engineering and machinery |
| url | http://eprints.utm.my/7030/1/MohdShafiekYaacob2005_DailyStreamflowForecastingUsing.pdf http://eprints.utm.my/7030/ |
| url_provider | http://eprints.utm.my/ |