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  1. Model Induction from Data

    Towards the next generation of computational engines in hydraulics and hydrology

    By Y.B. Dibike

    There has been an explosive growth of methods in recent years for learning (or estimating dependency) from data, where data refers to known samples that are combinations of inputs and corresponding outputs of a given physical system. The main subject addressed in this thesis is model induction from...

    Published December 31st 2001 by Taylor & Francis

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