A new method for monthly streamflow prediction using multi-source data: range-dependent multivariate adaptive regression splines–genetic algorithm
Author:
Affiliation:
1. Department of Civil Engineering, Lubeck University of Applied Sciences, Lubeck, Germany
2. Department of Biology, Universiteit Antwerpen, Antwerpen, Belgium
3. Department of Civil Engineering, Ilia State University, Tbilisi, Georgia
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/02626667.2024.2394639
Reference53 articles.
1. Development of multivariate adaptive regression spline integrated with differential evolution model for streamflow simulation
2. Least square support vector machine and multivariate adaptive regression splines for streamflow prediction in mountainous basin using hydro-meteorological data as inputs
3. Bahner T. May 2011. Case study from a series on access to land for community connected farming. Available from: https://www.forum-synergies.eu/docs/2012hamburg2.pdf.
4. Streamflow Modelling: A Primer on Applications, Approaches and Challenges
5. Estimation of municipal waste generation of Turkey using socio-economic indicators by Bayesian optimization tuned Gaussian process regression
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