Support vector machine and neural network based model for monthly stream flow forecasting
Accurate forecasting of streamflow is desired in many water resources planning and management, flood prevention and design development. In this study, the accuracy of two hybrid model, support vector machine - particle swarm optimization (SVM-PSO) and bat algorithm - backpropagation neural network (...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
2019
|
| Online Access: | http://dspace.uniten.edu.my/jspui/handle/123456789/11726 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|