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Entry Topical Term

Number of records used in: 56

001 - CONTROL NUMBER

  • control field: 358764

003 - CONTROL NUMBER IDENTIFIER

  • control field: DNLM

005 - DATE AND TIME OF LATEST TRANSACTION

  • control field: 20211102233259.0

008 - FIXED-LENGTH DATA ELEMENTS

  • fixed length control field: 910125 n ancnnbabn || ana

035 ## - SYSTEM CONTROL NUMBER

  • System control number: (DNLM)D016571

040 ## - CATALOGING SOURCE

  • Original cataloging agency: DNLM
  • Transcribing agency: DNLM
  • Subject heading/thesaurus conventions: mesh

060 #0 - NATIONAL LIBRARY OF MEDICINE CALL NUMBER

  • Classification number: WL 26.5

072 ## - SUBJECT CATEGORY CODE

  • Subject category code: G17.
  • Subject category code subdivision: 485

072 ## - SUBJECT CATEGORY CODE

  • Subject category code: L1.
  • Subject category code subdivision: 224.
  • Subject category code subdivision: 50.
  • Subject category code subdivision: 375.
  • Subject category code subdivision: 605

072 ## - SUBJECT CATEGORY CODE

  • Subject category code: L1.
  • Subject category code subdivision: 725.
  • Subject category code subdivision: 500

150 ## - HEADING--TOPICAL TERM

  • Topical term or geographic name entry element: Neural Networks (Computer)

450 ## - SEE FROM TRACING--TOPICAL TERM

  • Topical term or geographic name entry element: Connectionist Models

450 ## - SEE FROM TRACING--TOPICAL TERM

  • Topical term or geographic name entry element: Models, Neural Network

450 ## - SEE FROM TRACING--TOPICAL TERM

  • Topical term or geographic name entry element: Neural Network Models

450 ## - SEE FROM TRACING--TOPICAL TERM

  • Topical term or geographic name entry element: Perceptrons

450 ## - SEE FROM TRACING--TOPICAL TERM

  • Control subfield: nnna
  • Topical term or geographic name entry element: Connectionist Model

450 ## - SEE FROM TRACING--TOPICAL TERM

  • Control subfield: nnna
  • Topical term or geographic name entry element: Model, Connectionist

450 ## - SEE FROM TRACING--TOPICAL TERM

  • Control subfield: nnna
  • Topical term or geographic name entry element: Model, Neural Network

450 ## - SEE FROM TRACING--TOPICAL TERM

  • Control subfield: nnna
  • Topical term or geographic name entry element: Models, Connectionist

450 ## - SEE FROM TRACING--TOPICAL TERM

  • Control subfield: nnna
  • Topical term or geographic name entry element: Network Model, Neural

450 ## - SEE FROM TRACING--TOPICAL TERM

  • Control subfield: nnna
  • Topical term or geographic name entry element: Network Models, Neural

450 ## - SEE FROM TRACING--TOPICAL TERM

  • Control subfield: nnna
  • Topical term or geographic name entry element: Network, Neural (Computer)

450 ## - SEE FROM TRACING--TOPICAL TERM

  • Control subfield: nnna
  • Topical term or geographic name entry element: Networks, Neural (Computer)

450 ## - SEE FROM TRACING--TOPICAL TERM

  • Control subfield: nnna
  • Topical term or geographic name entry element: Neural Network (Computer)

450 ## - SEE FROM TRACING--TOPICAL TERM

  • Control subfield: nnna
  • Topical term or geographic name entry element: Neural Network Model

450 ## - SEE FROM TRACING--TOPICAL TERM

  • Control subfield: nnna
  • Topical term or geographic name entry element: Perceptron

680 ## - PUBLIC GENERAL NOTE

  • Explanatory text: A computer architecture, implementable in either hardware or software, modeled after biological neural networks. Like the biological system in which the processing capability is a result of the interconnection strengths between arrays of nonlinear processing nodes, computerized neural networks, often called perceptrons or multilayer connectionist models, consist of neuron-like units. A homogeneous group of units makes up a layer. These networks are good at pattern recognition. They are adaptive, performing tasks by example, and thus are better for decision-making than are linear learning machines or cluster analysis. They do not require explicit programming.

688 ## - APPLICATION HISTORY NOTE

  • Application history note: 92

907 ## -

  • : .a13065026
  • : 24-06-16
  • : 24-06-16
  • : -
  • : -
  • : -

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