Sound classification and function approximation using spiking neural networks

Abstract

The capabilities and robustness of a new spiking neural network (SNN) learning algorithm are demonstrated with sound classification and function approximation applications. The proposed SNN learning algorithm and the radial basis function (RBF) learning method for function approximation are compared. The complexity of the learning algorithm is analyzed. © Springer-Verlag Berlin Heidelberg 2005.