Analog pattern categorization system having dual weighted connec

Details Analog pattern categorization system having dual weighted connec Analog pattern categorization system having dual weighted connec

1991-07-05

1993-01-12

Boudreau, Leo H.

Image analysis

Histogram processing

For setting a threshold

3642749, 395 25, G06K 962

Patent

active

051795965

ABSTRACT:
Pattern categorization is provided by a self-organizing analog field/layer which learns many-to-many, analog spatiotemporal mappings. The field/layer employs a set of input nodes, each input node having two long term memory weights, and a set of output nodes. Each input node is for categorizing patterns with respect to a plurality of categories. The long term memory weights of an input node encode the patterns categorized by the input node. Each input node generates signals as a function of respective long term memory weights and input signals to the input node. Each input node is coupled to a different output node. Each output node receives signals generated by the respective input node and selects a category of the respective input node. The output nodes provide a mapping between plural parts of the input pattern and plural categories of the input nodes. Category selections of the output nodes are modified such that sum of the output signals from the output nodes is within a predefined range. Upon the sum of the output signals being within the predefined range, the output nodes provide categorization of the input pattern from the mapping between plural parts of the input pattern and plural categories of the input nodes.

REFERENCES:
patent: 4914708 (1990-04-01), Carpenter et al.
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patent: 5052043 (1991-09-01), Gaborski
patent: 5058180 (1991-10-01), Khan
patent: 5058184 (1991-10-01), Fukushima
patent: 5067164 (1991-11-01), Denker et al.
G. A. Carpenter and S. Grossbert, "ART2: Self-Organization of Stable Category Recognition Codes for Analog Input Patterns", reprinted from Applied Optics, vol. 26, No. 23, Dec., 1987, pp. 4919-4930.

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