This paper presents the spherical classifier, an artificial neural net
work model for content addressable memory, pattern recognition, and co
ntrol. The spherical classifier is a high-order dynamical system which
stores as memories (attractors) any finite set of unit vectors in n-d
imensional space. We illustrate applications of the spherical classifi
er in classification and control.