Pattern classification system

Details Pattern classification system Pattern classification system

1992-08-27

1994-08-09

Moore, David K.

Image analysis

Histogram processing

For setting a threshold

382 36, G06K 962

Patent

active

053373715

ABSTRACT:
A pattern classification system includes a plurality of classification sections. Each of the classification sections includes a device for storing information of N coefficients W representing a reference pattern, a device for calculating an evaluation value V on the basis of N input signals S and the N coefficients W, the N input signals representing an input pattern, the evaluation value V representing a relation between the input pattern and the reference pattern, a device for storing information of a fixed threshold value R, and a device for comparing the evaluation value V and the threshold value R and for outputting an estimation signal depending on a result of the comparing, the estimation signal including a category signal P which represents a category. A selection section is operative for selecting one of categories in response to the category signals outputted from the classification sections and for outputting a signal Px representing the selected one of the categories. An adjustment section is operative for adjusting parameters in the classification sections in response to the output signal Px of the selection section and a teacher signal T, the parameters including the coefficients W.

REFERENCES:
patent: 3950733 (1976-04-01), Cooper et al.
patent: 4760604 (1988-07-01), Cooper et al.
patent: 4958375 (1990-09-01), Reilly
"Neural Network Model for Realtime Adaptation to Rapidly Changing Environment" by Yoshinori Okamoto; The Japanese Institute of Electronics, Information and Communication Engineers, Transactions D-II, vol. J73-D-II, No. 8; Aug, 1990; pp. 1186-1191.
"Self-Organization and Associative Memory", 2nd, Springer-Verlag, 1988, by T. Kohonen; pp. 199-202.

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