Evolutionary product unit based neural networks for regression

Abstract

This paper presents a new method for regression based on the evolution of a type of feed-forward neural networks whose bAsís function units are products of the inputs raised to real number power. These nodes are usually called product units. The main advantage of product units is their capacity for implementing higher order functions.