Abstract: The support vector regression (SVR) is applied to investigate the relationship between the properties and formulation of (Zr_0.7Sn_0.3) TiO₄ dielectric ceramic.The models for predicting dielectric constant and loss angle tangent are proposed respectively.Using the leave-one-out cross-validation method, the mean relative errors (MRE) of dielectric constant in SVR, back-propagation artificial neural network (BP-ANN) and multiple linear regression (MLR) models are checked, with the results of 1.083%, 1.632% and 1.931% respectively.Similarly, the MRE of loss angle tangent in SVR, BP-ANN and MLR are 0.999%, 1.746% and 1.414% respectively.It is therefore demonstrated that support vector regression is a useful tool in dealing with multi-variable problems with non-linearity or small size of data set in the formulation design of dielectric ceramics.

Key words: (Zr_0.7 Sn_0.3) TiO₄, dielectric properties, support vector machine, support vector regression, le ave-one-out