This paper studies controllability for the class of control systems co
mmonly called (continuous-time) recurrent neural networks. It is shown
that, under a generic condition on the input matrix, the system is co
ntrollable, for every possible state matrix. The result holds when the
activation function is the hyperbolic tangent. (C) 1997 Elsevier Scie
nce B.V.