| Author | Le Hung Nam |
| Call Number | AIT Thesis no.WM-97-24 |
| Subject(s) | Stream measurements--Vietnam--Black River Basin
|
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering. School of Civil Engineering |
| Publisher | Asian Institute of Technology |
| Abstract | Monthly streamflow modeling and forecasting are important in water resources planning and
management. In this study, an attempt was made to assess the applicability of backpropagation
neural networks in this problem. A backpropagation neural network program with faster training
algorithm (called BPNN program) was developed to improve the effectiveness of
backpropagation neural network models. Three streamflow stations with reliable records in the
Black River Basin, namely Lai Chau, Ta Bu, and Hoa Binh were used where the input to neural
networks consisted of rainfall and discharge, and their past values. It was found that
backpropagation models can represent the monthly flow at these stations ve1y well. Moreover,
they provide satisfactorily accurate forecast values at these stations. |
| Year | 1998 |
| Type | Thesis |
| School | School of Civil Engineering |
| Department | Department of Civil and Infrastucture Engineering (DCIE) |
| Academic Program/FoS | Water Engineering and Management (WM) |
| Chairperson(s) | Gupta, Ashim Das; |
| Examination Committee(s) | Huynh Ngoc Phien;Loof, Rainer;Kazama, So; |
| Scholarship Donor(s) | The Swedish International Development Cooperation Agency; |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 1998 |