| contributor author | Shie-Yui Liong | |
| contributor author | Wee-Han Lim | |
| contributor author | Guna N. Paudyal | |
| date accessioned | 2017-05-08T21:12:50Z | |
| date available | 2017-05-08T21:12:50Z | |
| date copyright | January 2000 | |
| date issued | 2000 | |
| identifier other | %28asce%290887-3801%282000%2914%3A1%281%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/43001 | |
| description abstract | A relatively new approach, artificial neural network, was demonstrated in this study to be a highly suitable flow prediction tool yielding a very high degree of water-level prediction accuracy at Dhaka, Bangladesh, even for up to 7 lead days. The goodness-of-fit | |
| publisher | American Society of Civil Engineers | |
| title | River Stage Forecasting in Bangladesh: Neural Network Approach | |
| type | Journal Paper | |
| journal volume | 14 | |
| journal issue | 1 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/(ASCE)0887-3801(2000)14:1(1) | |
| tree | Journal of Computing in Civil Engineering:;2000:;Volume ( 014 ):;issue: 001 | |
| contenttype | Fulltext | |
