Weighted Radial Basis Functions Networks Applied to Model Jominy Hardness Pro les of Steels
نویسندگان
چکیده
In this work several attemps are proposed for extracting the Jominy hardness pro les of steel directly from the steel chemical composition. It is essentially a black{box modelling problem: the neural approach seems powerful, especially compared with classical models commonly found in literature. Several network structures have been implemented, which all can be viewed under the uni cation paradigm of Weighted Radial Basis Function networks. Ad{hoc data preprocessing allow to reduce the network dimensions.
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