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 (...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Science Publishing Corporation Inc
2018
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| Subjects: | |
| Online Access: | View Fulltext in Publisher View in Scopus |