Optimising training data for ANNs with Genetic Algorithms

Article English OPEN
R. G. Kamp; R. G. Kamp; H. H. G. Savenije;
(2006)
  • Publisher: Copernicus Publications
  • Journal: Hydrology and Earth System Sciences (issn: 1027-5606, eissn: 1607-7938)
  • Publisher copyright policies & self-archiving
  • Subject: T | G | GE1-350 | Geography. Anthropology. Recreation | Environmental technology. Sanitary engineering | Environmental sciences | Technology | TD1-1066
    arxiv: Physics::Geophysics | Computer Science::Neural and Evolutionary Computation

Artificial Neural Networks (ANNs) have proved to be good modelling tools in hydrology for rainfall-runoff modelling and hydraulic flow modelling. Representative datasets are necessary for the training phase in which the ANN learns the model's input-output relations... View more
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