Generalisation and regularisation by Gaussian filter convolution of radial basis function networks
This paper proposes a new technique called Regularisation by Convolution to improve the generalisation of GaRBF networks. The technique is based on the convolution after training of GaRBF networks with gaussian filters and, consequently, is independent of the learning stage and algorithm. Moreover, it alleviates the need for retraining. The performance of Regularisation by Convolution in improving regression is illustrated for Wahba’s problem.