An FDO neural network model and its application to image recognition

Abstract

A full domain optimum neural network is proposed. A method of devising stable points firstly and basins of attraction latterly increases speed and correctness of image recognition. This paper proves the quality and speed of convergence and invariance of mapping. Several computer simulation examples involving trained and recognized targets illustrate the usefulness of the method.<>