Efficacy in simulating the peak discharge response using soft computing techniques in the Jhelum river basin, India
Author:
Affiliation:
1. Department of Civil Engineering, National Institute of Technology, Patna, India
Publisher
Informa UK Limited
Subject
Water Science and Technology
Link
https://www.tandfonline.com/doi/pdf/10.1080/15715124.2019.1570934
Reference35 articles.
1. Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds
2. Nonlinear, discrete flood event models, 3. Analysis of prediction uncertainty
3. Soft Computing Approach for Rainfall-runoff Modelling: A Review
4. Combining a fuzzy optimal model with a genetic algorithm to solve multi-objective rainfall–runoff model calibration
5. HydroTest: A web-based toolbox of evaluation metrics for the standardised assessment of hydrological forecasts
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