I.K. Pour, D.J. Krajnovich, et al.
SPIE Optical Materials for High Average Power Lasers 1992
A boundary layer method for accelerating the solution of the differential equations representing the dynamics of an analog relaxation neural net in a high gain limit is presented. The inverse of the gain parameter in an analog neuron's transfer function is used as a small parameter, in terms of which the net dynamics may be separated into two time scales. This separation leads to economies in the numerical treatment of the associated differential equations, i.e., the acceleration in question. Illustrative computations are presented. © 1993.
I.K. Pour, D.J. Krajnovich, et al.
SPIE Optical Materials for High Average Power Lasers 1992
Corneliu Constantinescu
SPIE Optical Engineering + Applications 2009
R.A. Brualdi, A.J. Hoffman
Linear Algebra and Its Applications
Charles Micchelli
Journal of Approximation Theory