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Real-time associative recognizing system for binary patterns

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.