Large-scale neural network model for multiclass pattern recognition

Thomas Taiwei Lu; Freddie Shing-Hong Lin; Hung Chou; Andrew A. Kostrzewski; Jenkin C. Chen

doi:10.1117/12.163590

9 November 1993 Large-scale neural network model for multiclass pattern recognition

Thomas Taiwei Lu, Freddie Shing-Hong Lin, Hung Chou, Andrew A. Kostrzewski, Jenkin C. Chen

Proceedings Volume 2026, Photonics for Processors, Neural Networks, and Memories; (1993) https://doi.org/10.1117/12.163590
Event: SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, 1993, San Diego, CA, United States

Abstract

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.

Citation Download Citation

Thomas Taiwei Lu, Freddie Shing-Hong Lin, Hung Chou, Andrew A. Kostrzewski, and 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); https://doi.org/10.1117/12.163590

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