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Product Description Knstliche neuronale Netze werden seit einigen Jahren auch in den Wirtschaftswissenschaften eingesetzt. Sie werden vorwiegend als Instrumente zur Klassifikation und Prognose verwendet. In dieser Arbeit werden die vorwrtsgekoppelten sigmoiden Netze und radialen Basisfunktionsnetze aus der Sicht der Statistik betrachtet. Diese Netze sind dazu geeignet, nichtlineare Funktionen beliebig genau zu approximieren. Bei nherer Betrachtung weisen sie zudem eine enge Verwandtschaft zu bekannten statistischen Modellen auf. Damit knnen auch statistische Hypothesentests herangezogen werden, um die Suche nach guten Netzen systematisch zu gestalten. Auerdem werden Mglichkeiten einer Interpretation der Parameter in solchen Netzen behandelt. About the Author Die Autorin: Gabriele Widmann wurde 1969 in Schramberg geboren. Nach dem Studium der Volkswirtschaftslehre mit Schwerpunkt quantitative Methoden an der Universitt Tbingen arbeitete sie als wissenschaftliche Angestellte am Lehrstuhl fr Statistik, konometrie und Unternehmensforschung von Professor Dr. Eberhard Schaich und wurde 2000 promoviert.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer,
birth defects, or other reproductive harm.
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