Image analysis – Learning systems – Neural networks
Patent
1993-01-11
1996-02-20
Razavi, Michael T.
Image analysis
Learning systems
Neural networks
395 23, G06T 140
Patent
active
054936888
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.
patent: 5003490 (1991-03-01), Castelaz et al.
patent: 5048100 (1991-09-01), Kuperstein
patent: 5052043 (1991-09-01), Gaborski
patent: 5058180 (1991-10-01), Khan
patent: 5058184 (1991-10-01), Fukushima
patent: 5063601 (1991-11-01), Hayduk
patent: 5067164 (1991-11-01), Denker et al.
patent: 5146543 (1992-09-01), Vassiliadis et al.
patent: 5155801 (1993-10-01), Lincoln
patent: 5179596 (1993-01-01), Weingard
patent: 5239594 (1993-08-01), Yoda
patent: 5253329 (1993-10-01), Villarreal et al.
patent: 5263107 (1993-11-01), Ueda et al.
patent: 5371809 (1994-12-01), Desieno
Jain et al., "A K-Nearest Neighbor Artificial Neural Network Classifier", IJCN-91--Seattle: Int. Joint Conf. Neural Networks, vol. 2, pp. 515-520, Jul. 1991.
Lippman "Intro to Computing with Neural Nets", IEEE ASSP 1987.
Kulkarni et al., "Self Organizing Neural Networks with a Split/Merge Algorithm", ACM 1990.
G. A. Carpenter and S. Grossbert, "ART2: Self-Organization of Stable Category Recognition Codes for Analog Input Patterns", a reprint from Applied Optics, vol. 26, No. 23, Dec. 1987, pp. 4919-4930.
Booz Allen & Hamilton, Inc.
Chang Jon
Razavi Michael T.
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