Algorithm for construction of parametric vectors for solution of classification problems by a feed-forward neural network

Abstract

A universal heuristic algorithm is considered that constructs the vector of properties of an object that are distributed among heterogeneous groups. This algorithm is based on a feed-forward neural network. An automatic system for objects classification is described. The use of the automatic classification system for a literary authorship attribution problem is considered. © Springer Science+Business Media, Inc. 2007.