9 November 1993 Large-scale neural network model for multiclass pattern recognition
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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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thomas Taiwei Lu, Thomas Taiwei Lu, Freddie Shing-Hong Lin, Freddie Shing-Hong Lin, Hung Chou, Hung Chou, Andrew A. Kostrzewski, Andrew A. Kostrzewski, Jenkin C. Chen, Jenkin C. Chen, } "Large-scale neural network model for multiclass pattern recognition", Proc. SPIE 2026, Photonics for Processors, Neural Networks, and Memories, (9 November 1993); doi: 10.1117/12.163590; https://doi.org/10.1117/12.163590

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