The Self-Organizing Map is a popular neural network model for data analysis, for which a wide variety of visualization techniques exists. We present a novel technique that takes th...
This paper defines a constrained Artificial Neural Network (ANN) that can be employed for highly-dependable roles in safety critical applications. The derived model is based upon t...
d abstract Philip M. Long Apostol I. Natsevy Je rey Scott Vittery We consider re-representing the alphabet so that a representation of a character re ects its properties as a pr...
Philip M. Long, Apostol Natsev, Jeffrey Scott Vitt...
We present an implementation of Kohonen Self-Organizing Feature Maps for the Spert-II vector microprocessor system. The implementation supports arbitrary neural map topologies and ...
We present an artificial neural network used to learn online complex temporal sequences of gestures to a robot. The system is based on a simple temporal sequences learning architec...