L2 approximation properties of recurrent neural networks
A. Ruiz, D.H. Owens, Stuart Townley · 1997
We introduce a class of recurrent neural network that learn and replicates a periodic L9 function. A gradient type algorithm is used to modify the parameters of the network so that it learns and replicates autonomously a periodic signal. An example illustrates the results.