Title :
Handwritten pattern recognition with a binary associative memory
Author :
Poechmueller, Werner ; Glesner, Manfred
Abstract :
Shows how to use a simple associative memory in application areas like pattern recognition. This special kind of associative memory is, owing to the binary weights of the synapses and binary states of its neurons, very suitable for a hardware implementation using digital VLSI technology. Due to the simplicity of the mathematical operations used for programming (training) and the recall phase, it is very fast, even in simulations on sequential computers
Keywords :
VLSI; character recognition; computerised pattern recognition; content-addressable storage; neural nets; binary associative memory; digital VLSI technology; handwritten pattern recognition; hardware implementation; mathematical operations; neurons; programming; recall phase; sequential computers; simulations; synapses; training;
Conference_Titel :
Neural Networks, 1990., 1990 IJCNN International Joint Conference on
Conference_Location :
San Diego, CA, USA
DOI :
10.1109/IJCNN.1990.137680
