| contributor author | T. R. Neelakantan | |
| contributor author | Srinivasa Lingireddy | |
| contributor author | Gail M. Brion | |
| date accessioned | 2017-05-08T21:36:11Z | |
| date available | 2017-05-08T21:36:11Z | |
| date copyright | June 2002 | |
| date issued | 2002 | |
| identifier other | %28asce%290733-9372%282002%29128%3A6%28533%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/57231 | |
| description abstract | A neural network approach was employed to relate risky | |
| publisher | American Society of Civil Engineers | |
| title | Effectiveness of Different Artificial Neural Network Training Algorithms in Predicting Protozoa Risks in Surface Waters | |
| type | Journal Paper | |
| journal volume | 128 | |
| journal issue | 6 | |
| journal title | Journal of Environmental Engineering | |
| identifier doi | 10.1061/(ASCE)0733-9372(2002)128:6(533) | |
| tree | Journal of Environmental Engineering:;2002:;Volume ( 128 ):;issue: 006 | |
| contenttype | Fulltext | |
