A general and efficient design approach using a radial basis function (RBF) neural classifier to recognize earthquakes with small training sets of high dimension of foreshocks, which is a problem in seismology.In order to avoid overfitting and reduce the computational burden, face features of foreshocks are fast extracted by the principal component analysis (PCA) method.