On the mapping capacity of feedforward neural networks
Gang Wei, Sam Kwong, K.F. Man · 2002
This paper addresses the mapping capacity of feedforward neural networks (FFNNs). We propose a new condition of the activation function for FFNNs to be capable of approximating any continuous maps defined on /spl Rfr//sup n/. Based on the result, we construct several FFNN based nonlinear predictors for speech signals, and study their performances.