16 September 1992 Real-time associative recognizing system for binary patterns
Author Affiliations +
Abstract
This presentation describes the real-time associative recognizing system based on neural network technology for distortion-invariant pattern recognition. The system consists of two cascaded parts, i.e., an improved MADALINE invariant net with local connecting structure, and a feed-forward layered net of probabilistic logic neuron (PLN). The simple learning algorithm is proposed for the system. General-purpose RAMs are major parts of the system so that real-time processing is available.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lulin Chen, Lulin Chen, Lin Lin, Lin Lin, Ruli Wang, Ruli Wang, } "Real-time associative recognizing system for binary patterns", Proc. SPIE 1709, Applications of Artificial Neural Networks III, (16 September 1992); doi: 10.1117/12.140056; https://doi.org/10.1117/12.140056
PROCEEDINGS
7 PAGES


SHARE
RELATED CONTENT


Back to Top