Quang Nhat Huynh

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Symbolic Regression (SR) is commonly used to identify relationships among variables and responses in a data in the form of analytical, preferably compact expressions. Genetic Programming (GP) is one of the common ways to perform SR. Such relationships could be represented using explicit or implicit expressions, of which the former has been more extensively(More)
The process of identifying analytical relationships among variables and responses in observed data is commonly referred to as Symbolic Regression (SR). Genetic Programming is one of the commonly used approaches for SR, which operates by evolving expressions. Such relationships could be explicit or implicit in nature, of which the former has been more(More)
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