Study on the Optimization and Stability of Machine Learning Runoff Prediction Models in the Karst Area

Study on the Optimization and Stability of Machine Learning Runoff Prediction Models in the Karst Area

Runoff prediction plays an extremely important role in flood prevention, mitigation, and the efficient use of water resources. Machine learning runoff prediction models have become popular due to their high computational efficiency. To select a model with a better runoff simulation and to validate t...

Full description

Bibliographic Details
Main Authors: Chongxun Mo, Guangming Liu, Xingbi Lei, Mingshan Zhang, Yuli Ruan, Shufeng Lai, Zhenxiang Xing
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Applied Sciences
Subjects:
support vector machine
Elman neural network
multi-model mean model
model stability
runoff prediction
Chengbi River Karst Basin
Online Access:https://www.mdpi.com/2076-3417/12/10/4979

Internet

https://www.mdpi.com/2076-3417/12/10/4979

Similar Items