Large-scale neural network model for multiclass pattern recognition
Thomas T. Lu, Freddie S. Lin, Hung Chou, Andrew A. Kostrzewski, Jenkin C. Chen · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1993
This paper presents a large-scale neural network training model--a gray-scale interpattern association neural network model for feature extraction and fast training. A neural network based composite filter (NNCF) concept is proposed for neural network training of Fourier plane filters. The NNCF generation methods can selectively enhance features in the Fourier domain. The nonlinear combination of multiple filters through neural network training enables multi-class pattern recognition.