FIELD: physics.
SUBSTANCE: invention relates to automatics and computer engineering and can be used in systems for automatic recognition of images with a complex structure: images of objects, models of situations and other data presented in the form of attributive graphs or semantic networks - sets of interconnected structural elements specified by feature sets (vectors). Associative recognition device has a data input device, a control unit, an output device and a matrix of storage elements connected by a data bus and instructions with a control unit. Device additionally contains a matrix of transmitting elements connected by a command bus to a matrix of storage elements, and each transmitting element is connected by buses of commands to the nearest neighbouring transmitting elements.
EFFECT: technical result of present invention is high reliability of recognizing images with complex structure such that for each structural element of image requires its own set of characteristic values - its own storage element.
3 cl, 13 dwg, 2 tbl
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|---|---|---|---|
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| DATA STRUCTURES PROCESSOR | 0 |
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| SYSTEM FOR PLANNING TRIP MULTIMODAL ROUTE | 2014 |
|
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| SITUATION RECOGNITION DEVICE | 0 |
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|
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| CLASSIFICATION OF DOCUMENTS BY LEVELS OF CONFIDENTIALITY | 2019 |
|
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| METHOD FOR OPERATIONAL IDENTIFICATION OF MARINE TARGETS BY THEIR INFORMATION FIELDS BASED ON NEURO-FUZZY MODELS | 2021 |
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| SYSTEM AND METHOD FOR REVEALING THE STRUCTURE OF PATTERNS AND ANOMALIES IN THE STREAM OF EVENTS COMING FROM A CYBER-PHYSICAL SYSTEM OR AN INFORMATION SYSTEM | 2022 |
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RU2793549C1 |
