| contributor author | Bing Xing | |
| contributor author | Rong Gan | |
| contributor author | Guodong Liu | |
| contributor author | Zhongfang Liu | |
| contributor author | Jing Zhang | |
| contributor author | Yufeng Ren | |
| date accessioned | 2017-05-08T22:25:15Z | |
| date available | 2017-05-08T22:25:15Z | |
| date copyright | February 2016 | |
| date issued | 2016 | |
| identifier other | 44356469.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/80316 | |
| description abstract | Accurate and reliable prediction of runoff generation is necessary for flood control scheduling, water supply planning, and hydropower generation. Support vector machine (SVM), which is at the forefront of current research of regression and classification, was used in this paper to conduct monthly mean streamflow prediction. A novel heuristic optimization named bat algorithm (BA) was introduced to determine the parameters of SVM [penalty parameter ( | |
| publisher | American Society of Civil Engineers | |
| title | Monthly Mean Streamflow Prediction Based on Bat Algorithm-Support Vector Machine | |
| type | Journal Paper | |
| journal volume | 21 | |
| journal issue | 2 | |
| journal title | Journal of Hydrologic Engineering | |
| identifier doi | 10.1061/(ASCE)HE.1943-5584.0001269 | |
| tree | Journal of Hydrologic Engineering:;2016:;Volume ( 021 ):;issue: 002 | |
| contenttype | Fulltext | |
