A new learning strategy is proposed for training of radial basis functions (RBF) network. We apply two different local optimization methods to update the output weights in training process, the gradient method and a combination of the gradient and Newton methods. Numerical results obtained in solving nonlinear integral equations show the excellent performance of the combined gradient method in ...

Combined relay selection only requires two relays to forward signals transmitted on multiple subcarriers, but the optimal outage performance is almost surely achievable in high signal-to-noise ratio (SNR) region. However, because combined involves generation of full set two-relay combinations, complexity much higher than that per-subcarrier when number goes large. This drawback restricts implem...

Machine Learning has shown tremendous progress in the last decades. Started as a sub-domain within Artificial Intelligence it has grown into an independent field of study. New research problems have been identified, many new methods have been introduced and the number of their applications in various areas is still increasing. Machine Learning together with the related, younger field of Data Mi...