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  • © 1992

Simulation Neuronaler Netze

Grundlagen, Modelle, Programme in Turbo Pascal

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Table of contents (15 chapters)

  1. Front Matter

    Pages I-XII
  2. Grundlagen

    1. Einleitung

      • Norbert Hoffmann
      Pages 1-8
    2. Allgemeine Beschreibung des Programms

      • Norbert Hoffmann
      Pages 9-35
  3. Modelle

    1. Grundlagen des Muster-Assoziators

      • Norbert Hoffmann
      Pages 36-73
    2. Anwendungen des Muster-Assoziators

      • Norbert Hoffmann
      Pages 74-87
    3. Auto-Assoziatoren

      • Norbert Hoffmann
      Pages 88-113
    4. Hopfield-Netze

      • Norbert Hoffmann
      Pages 132-136
  4. Programme

    1. Grundlegende Programme

      • Norbert Hoffmann
      Pages 142-155
    2. Neuronstrukturen und Hilfsprogramme

      • Norbert Hoffmann
      Pages 156-182
    3. Objekt TNetz (Unit NETZ)

      • Norbert Hoffmann
      Pages 183-221
    4. Eingabe und Modifikation des Programms

      • Norbert Hoffmann
      Pages 222-224
  5. Anhang

    1. Literaturverzeichnis

      • Norbert Hoffmann
      Pages 225-226
    2. Synonymverzeichnis

      • Norbert Hoffmann
      Pages 228-228
    3. Symbolverzeichnis

      • Norbert Hoffmann
      Pages 229-229
  6. Back Matter

    Pages 230-236

Bibliographic Information

  • Book Title: Simulation Neuronaler Netze

  • Book Subtitle: Grundlagen, Modelle, Programme in Turbo Pascal

  • Authors: Norbert Hoffmann

  • DOI: https://doi.org/10.1007/978-3-322-83200-9

  • Publisher: Vieweg+Teubner Verlag Wiesbaden

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Fachmedien Wiesbaden 1992

  • eBook ISBN: 978-3-322-83200-9Published: 08 March 2013

  • Edition Number: 2

  • Number of Pages: XII, 236

  • Number of Illustrations: 66 b/w illustrations

  • Topics: Communications Engineering, Networks

Buy it now

Buying options

eBook USD 54.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Other ways to access