Abstract
Two of the important features in neural computing are adaptation to a changeable environment and recognition of unknown objects. Kohonon's model is one of the simplest self-organizing algorithms,1 which is capable of performing statistical pattern recognition and classification. This model is modified and combined with several matching criteria that we have developed.
© 1990 Optical Society of America
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