Fuzzy neuron for pattern recognition

摘要

A pattern recognition method capable of implementing a system suitable for the recognition of a complicated pattern. A reference pattern to be collated with an input pattern is represented using a plurality of membership functions to thereby apply fuzziness to the reference pattern. The input pattern which is input along a cross-detecting line is logically inverted for the production of an inverted input pattern. The input pattern is collated with any one of the plurality of membership functions to judge whether or not the input pattern is provided with at least one of the features of the reference pattern. Also, the inverted input pattern is collated with any one of the other membership functions to thereby judge whether or not the input pattern is provided with at least another one of the features of the reference pattern. The results of these inversions are synthesized. If the obtained result indicates that the input pattern sufficiently matches the reference pattern, then the input pattern is recognized to be a pattern belonging to the same category as the reference pattern.