most citedGP-RVM: Genetic Programing-based Symbolic Regression Using Relevance Vector Machine

14 citations · 14 across the 1 of their papers we have counts for

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1 paper

cs.NE2018★ 14 cited

GP-RVM: Genetic Programing-based Symbolic Regression Using Relevance Vector Machine

Hossein Izadi Rad, Ji Feng, Hitoshi Iba

This paper proposes a hybrid basis function construction method (GP-RVM) for Symbolic Regression problem, which combines an extended version of Genetic Programming called Kaizen Pr…