JavaRNN use full connected RNNs. Such a RNN contains X nodes and X^{2} connections.
Each of this connection is weighted. The choosen transfer function is at this time
a simple sigmoid.
Application
We actually use RNN as predictor : we check the RNN capability to predict a signal
at T+1. We also use it as longrun predcitor, coupling its predicted output to
its input we let im predict a signal at T+n
Delay
We have experienced limitations modelling periodic signals due to the natural resonant frequency
of the RNN. To solve this problem we had delay buffers in each connection in form of
a FIFO queue. the length of the queue is also set during the training.
