Daily streamflow forecasting using simplified rule-based fuzzy logic system
Link to publisher's homepage at http://www.myiem.org.my/
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
The Institution of Engineers, Malaysia
2011
|
| Subjects: | |
| Online Access: | http://dspace.unimap.edu.my/xmlui/handle/123456789/13555 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Malaysia Perlis |
| Language: | English |
| id |
my.unimap-13555 |
|---|---|
| record_format |
dspace |
| spelling |
my.unimap-135552011-08-12T12:18:17Z Daily streamflow forecasting using simplified rule-based fuzzy logic system Mohd Shafiek, Yaacob, Dr. Hishamuddin, Jamaluddin Sobri, Harun Fuzzy systems Rainfall-runoff modelling Time series forecasting Training algorithms Link to publisher's homepage at http://www.myiem.org.my/ In this study, a simplified fuzzy logic system with uniform partitions in the input space is proposed for forecasting the daily streamflow 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 of three 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 BP algorithm. 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. 2011-08-12T12:18:17Z 2011-08-12T12:18:17Z 2005-12 Article The Journal of the Institution of Engineers, Malaysia, vol. 66(4), 2005, pages 23-28 0126-513X http://www.myiem.org.my/content/iem_journal_2005-176.aspx http://hdl.handle.net/123456789/13555 en The Institution of Engineers, Malaysia |
| institution |
Universiti Malaysia Perlis |
| building |
UniMAP Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Malaysia Perlis |
| content_source |
UniMAP Library Digital Repository |
| url_provider |
http://dspace.unimap.edu.my/ |
| language |
English |
| topic |
Fuzzy systems Rainfall-runoff modelling Time series forecasting Training algorithms |
| spellingShingle |
Fuzzy systems Rainfall-runoff modelling Time series forecasting Training algorithms Mohd Shafiek, Yaacob, Dr. Hishamuddin, Jamaluddin Sobri, Harun Daily streamflow forecasting using simplified rule-based fuzzy logic system |
| description |
Link to publisher's homepage at http://www.myiem.org.my/ |
| format |
Article |
| author |
Mohd Shafiek, Yaacob, Dr. Hishamuddin, Jamaluddin Sobri, Harun |
| author_facet |
Mohd Shafiek, Yaacob, Dr. Hishamuddin, Jamaluddin Sobri, Harun |
| author_sort |
Mohd Shafiek, Yaacob, Dr. |
| title |
Daily streamflow forecasting using simplified rule-based fuzzy logic system |
| title_short |
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_sort |
daily streamflow forecasting using simplified rule-based fuzzy logic system |
| publisher |
The Institution of Engineers, Malaysia |
| publishDate |
2011 |
| url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/13555 |
| _version_ |
1643790890784784384 |