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  • × subject_ss:"Neuronales Netz"
  1. Braun, H.: Neuronale Netze : Optimierung durch Lernen und Evolution (1997) 0.01 
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  2. Brause, R.: Neuronale Netze : eine Einführung in die Neuroinformatik (1991) 0.01 
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    Classification
    QH 700 Wirtschaftswissenschaften / Mathematik. Statistik. Ökonometrie. Unternehmensforschung / Ökonometrie (einschließlich Logit-, Probit- und Tobitmodellen, d. h. Modellen mit qualitativen und begrenzt abhängigen Variablen [limited dependent variables]) / Datenverarbeitung. Wirtschaftsinformatik / Kybernetik. Neuronale Netze
    Language
    d
    RVK
    QH 700 Wirtschaftswissenschaften / Mathematik. Statistik. Ökonometrie. Unternehmensforschung / Ökonometrie (einschließlich Logit-, Probit- und Tobitmodellen, d. h. Modellen mit qualitativen und begrenzt abhängigen Variablen [limited dependent variables]) / Datenverarbeitung. Wirtschaftsinformatik / Kybernetik. Neuronale Netze
  3. Rojas, R.: Theorie der neuronalen Netze : eine systematische Einführung (1993) 0.01 
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    Classification
    QH 700 Wirtschaftswissenschaften / Mathematik. Statistik. Ökonometrie. Unternehmensforschung / Ökonometrie (einschließlich Logit-, Probit- und Tobitmodellen, d. h. Modellen mit qualitativen und begrenzt abhängigen Variablen [limited dependent variables]) / Datenverarbeitung. Wirtschaftsinformatik / Kybernetik. Neuronale Netze
    Language
    d
    RVK
    QH 700 Wirtschaftswissenschaften / Mathematik. Statistik. Ökonometrie. Unternehmensforschung / Ökonometrie (einschließlich Logit-, Probit- und Tobitmodellen, d. h. Modellen mit qualitativen und begrenzt abhängigen Variablen [limited dependent variables]) / Datenverarbeitung. Wirtschaftsinformatik / Kybernetik. Neuronale Netze
  4. Allman, W.F.: Menschliches Denken - Künstliche Intelligenz : von der Gehirnforschung zur nächsten Computer-Generation (1990) 0.00 
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    Issue
    Aus d. Amerikan. von Siegfried Schmitz.
    Language
    d
  5. Schöneburg, E.; Hansen, N.; Gawelczyk, A.: Neuronale Netzwerke : Einführung, Überblick, Anwendungsmöglichkeiten (1992) 0.00 
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