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Neuronale Netze
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In diesem Buch findet der Leser effiziente Methoden zur Optimierung Neuronaler Netze. Insbesondere durch die ausfhrliche Behandlung des Reinforcement Learning und der Evolutiven Optimierung geht es ber den Inhalt der bisherigen Lehrbcher zum Thema Neuronale Netze hinaus. Die Optimierung neuronaler Modelle wird in folgende Faktoren aufgeteilt: Neuronale Modelle, Lernprobleme, Optimierungsverfahren und Hardwareimplementierung. Dadurch erhlt der Leser die Mglichkeit, in seiner eigenen Anwendung die Bausteine seinen Zielen entsprechend zu kombinieren: Neuronales Modell vs. Neuro-Fuzzy-Modell, Supervised Learning vs. Reinforcement Learning, Gradientenabstieg vs. Evolution, sequentiell vs. parallel.
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