“…Other non-polynomial splines have been developed in the past, for instance we mention the "Tension Splines" that are based on the exponential function [2]. Neural Networks are well known for their universal approximation capabilities [3], [4] and have been employed for interpolation, approximation and modeling tasks in many cases, ranging from pattern recognition [5], signal processing, control and the solution of ordinary and partial differential equations [6], [7], [8].…”