A Study on Functional-Link Neural Units with Maximum Entropy Response

In this paper a preliminary study on an unsupervised learning theory for functional-link neural units is presented. A set of learning equations for this neural topology based on an information-theoretic approach is given. Then, learning and approximation capabilities are investigated through computer simulations concerning density shaping.