Abstract:<p><b>Symbolic regression is the process of constructing mathematical expressions that best fit given data sets, where a target variable is expressed in terms of input variables. Unlike traditional regression methods, which optimise the parameters of pre-defined models, symbolic regression learns both the model structure and its parameters simultaneously.</b></p>
<p>Genetic programming (GP) is a biologically-inspired evolutionary algorithm, that automatically generates computer pr… Show more
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