使仿.

Gi-Hun Bang1, Na-Hyeon Gwon2, Min-Jeong Cho2

  • 1Department of Integrated Water Management, Yeungnam University, Daehak-ro 280, Gyeongsan-si, Water Campus, Korea Water Cluster, Gukgasandan-daero 40-gil, Guji-myeon, Dalseong-gun, Gyeongsangbuk-do, Daegu, Republic of Korea.

概括

一个新的机器学习工具箱提供实时河流水质量建模. 在随机采样数据上训练的随机森林模型显示了关键水质参数的最佳性能.