Optimising training data for ANNs with Genetic Algorithms
نویسندگان
چکیده
منابع مشابه
Optimising training data for ANNs with Genetic Algorithms
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. Good and representative training data is not always available. In this publication Genetic Algorithms (GA) are used to optimise tr...
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ژورنال
عنوان ژورنال: Hydrology and Earth System Sciences
سال: 2006
ISSN: 1607-7938
DOI: 10.5194/hess-10-603-2006