Approximation capabilities of multilayer feedforward networks
K Hornik - Neural networks, 1991 - Elsevier
Abstract We show that standard multilayer feedforward networks with as few as a single
hidden layer and arbitrary bounded and nonconstant activation function are universal
approximators with respect to L p (μ) performance criteria, for arbitrary finite input
environment measures μ, provided only that sufficiently many hidden units are available. If
the activation function is continuous, bounded and nonconstant, then continuous ...
hidden layer and arbitrary bounded and nonconstant activation function are universal
approximators with respect to L p (μ) performance criteria, for arbitrary finite input
environment measures μ, provided only that sufficiently many hidden units are available. If
the activation function is continuous, bounded and nonconstant, then continuous ...