Response analysis of feed-forward neural network predictors

B. Varone, J.M.A. Tanskanen, S.J. Ovaska
1997 IEEE International Conference on Acoustics, Speech, and Signal Processing  
In this paper, we investigate the characteristics of some one-step-ahead nonlinear predictors based on a two-layer feed-forward neural network (2LFNN). The behavior of neural networks (NN) is investigated in the frequency domain using two frequency response estimation techniques, and in the time domain, by analyzing the unit step and triangular pulse responses. Some of the estimated frequency responses of these NNs resemble those of corresponding linear polynomial predictors, revealing the
more » ... y polynomial nature of the applied training signals. Similarity of the two frequency response estimates is an indication of good generalization properties.
doi:10.1109/icassp.1997.595501 dblp:conf/icassp/VaroneTO97 fatcat:2f2qwsrjwnc53olbemvarou2ka