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Recognition of general patterns using neural networks
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Model Neural Networks and Behavior
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A model of distributed type associative memory with quantized Hadamard transform
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“Neural” computation of decisions in optimization problems
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Simple neural models of classical conditioning
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Learning and pattern recognition in spin glass models
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Learning and pattern recognition in spin glass models
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Cortical connections and parallel processing: Structure and function
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‘Unlearning’ has a stabilizing effect in collective memories
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Information storage and retrieval in spin-glass like neural networks
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A comparison of neural network and matched filter processing for detecting lines in images
inferredcites →https://doi.org/10.1073/pnas.79.8.2554openalex-snapshot
Neural networks and physical systems with emergent collective computational abilities.
inferredcites →https://doi.org/10.1073/pnas.81.10.3088openalex-snapshot
Neurons with graded response have collective computational properties like those of two-state neurons.
inferredcites →https://doi.org/10.1109/tcs.1986.1085953openalex-snapshot
Simple 'neural' optimization networks: An A/D converter, signal decision circuit, and a linear programming circuit
inferredcites →https://doi.org/10.1126/science.224.4655.1299openalex-snapshot
Computer Vision and Natural Constraints
inferredcites →https://doi.org/10.1364/ol.10.000098openalex-snapshot
Optical information processing based on an associative-memory model of neural nets with thresholding and feedback
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Neural Networks for Pattern Recognition
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Planimetry in pathology – a method in its own right besides stereology and automatic image analysis
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Introduction of a neuronal network as a tool for diagnostic analysis and classification based on experimental pathologic data
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Disturbance pattern classification and neuro-adaptive control
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Weighted learning of bidirectional associative memories by global minimization
inferred← citeshttps://doi.org/10.1109/72.182701openalex-snapshot
An analog feedback associative memory
inferred← citeshttps://doi.org/10.1109/ijcnn.1991.170650openalex-snapshot
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Ion-Molecular Memory Model. Physical Media Delivery and Storage of Information
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The Role of Microcirculatory Disturbances in the Etiopathogenesis of Periodontal Disease in Patients with Malocclusion (brief Literature Review)
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A Neural Pattern Analyzer for Adaptive Process Control
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Using Pattern Recognition in Controller Adaptation and Performance Evaluation
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The relaxation method for learning in artificial neural networks
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Data Analysis for Comparative Histometry in Pathology - I. Classification Procedures and other Statistical Methods
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