Comments are welcome.
My apologies if you receive multiple copies of this announcement. The issues that have been addressed include knowledge rep- resentation, extraction, and refinement as well development of advanced learning algorithms. Recurrent neural networks are also very promising tool for modeling discrete dynamical systems through learning, particularly when partial prior knowledge is available. It is therefore of interest to study how uncertain- ty in the form of FFAs can be modeled by deterministic recurrent neural networks. In such networks, the classification performance is independent of the string length.