Data-driven input variable selection for rainfall–runoff modeling using binary-coded particle swarm optimization and Extreme Learning Machines
Author:
Publisher
Elsevier BV
Subject
Water Science and Technology
Reference60 articles.
1. Two decades of anarchy? Emerging themes and outstanding challenges for neural network river forecasting;Abrahart;Prog. Phys. Geogr.,2012
2. Using pruning algorithms and genetic algorithms to optimise network architectures and forecasting inputs in a neural network rainfall–runoff model;Abrahart;J. Hydroinform.,1999
3. Development of an artificial neural network based multi-model ensemble to estimate the northeast monsoon rainfall over south peninsular India: an application of extreme learning machine;Acharya;Clim. Dyn.,2013
4. Improved particle swarm optimization-based artificial neural network for rainfall–runoff modeling;Asadnia;J. Hydrol. Eng.,2014
5. Application of artificial neural networks in hydrology. I: Preliminary concepts;ASCE Task Committee on Application of Artificial Neural Networks in Hydrology;J. Hydrol. Eng.,2000
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