Journal:
:Journal of water management modeling2023
In the hydrological cycle, runoff precipitation is one of most significant and complex phenomena. order to develop improve predictive models, different perspectives have been presented in its modeling. Hydrological processes can be confidently modeled with help artificial intelligence techniques. this study, Leilanchai watershed was simulated using neural networks (ANNs) M5 model tree methods t...
David TaniarClement H. C. LeungJ. Wenny RahayuSushant Goel
data parallelism for a decision tree, 489–492 data set structure, 479–480 decision tree algorithm, 480–481 decision tree classification, 477–480 processes, 480–488 structure, 478–479 result parallelism for the decision tree, 492–495
