Neuronale Netze Für Ingenieure by Serge Zakharian
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Neuronale Netze Für Ingenieure

Neuronale Netze Für Ingenieure


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About the Book

Immer mehr Probleme der Industrie, Wirtschaft und des täg- lichen Lebens können mit Hilfe von künstlichen neuronalen Netzen gelöst werden. Sie stellen deshalb nicht länger eine Domäne der Informatikspezialisten dar. Jedoch gibt es zwischen diesem Gebiet und den Fächern der Ingenieurstudienrichtungen eine Diskrepanz. Unser Bestreben ist es, die neuronalen Netze durch die Be- griffe der Regelungstechnik, ein Pflichtfach für Studenten der Elektrotechnik, Maschinenbau, Verfahrenstechnik, einheitlich und strukturiert zu beschreiben und dabei mit möglichst ge- ringen mathematischen Voraussetzungen auszukommen. Das Buch wendet sich an Studenten der praktisch orientier- ten Studiengänge an Fachhochschulen sowie an die in der Praxis tätigen Ingenieure. Im Vordergrund stehen keine komfortablen Neuro-Tools wie DataEngine oder Neuromodel, aber auch keine detaillierten Analogien zum menschlichen Gehirn. Es werden sowohl Grundlagen als auch die Vielzahl der Netztypen mit ihren spezifischen Eigenschaften behandelt und an Hand der zahl- reichen Beispiele anschaulich erklärt. Mit den vorliegenden Algorithmen kann man selbst Programme schreiben, expe- rimentieren und schrittweise alle Variablen und Netzteile Stück für Stück verfolgen. Diese Kenntnisse sollen später einen Zugang zu einem komplexen Anwendungsprogramm erleichtern. Das Buch gliedert sich in sechs Abschnitte. Im 1. Abschnitt wird der funktionale Aufbau und die Funktionsweise eines einfachen künstlichen Neurons beschrieben. Für einen leichteren Zugang zu den einzelnen Netzen befaßt sich der 2. Abschnitt mit der Einteilung von neuronalen Netzen nach technischen Kriterien. Auf einen kurzen historischen Rück- blick konnten wir in diesem Abschnitt nicht verzichten, um Vorwort VI damit eine Übersicht über die fast dramatische Entwicklung dieses Gebietes zu vermitteln.
About the Author: Professor Dr.-Ing. Serguei Zakharian lehrt an der Fachhochschule Wiesbaden, Fachbereich Mathematik, Naturwissenschaften und Datenverarbeitung.
Dipl.-Ing. Stefan Thoer studierte an der Fachhochschule Wiesbaden Elektrotechnik mit dem Schwerpunk Meß- und Regelungstechnik.


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Product Details
  • ISBN-13: 9783528055783
  • Publisher: Vieweg+teubner Verlag
  • Sub Title: Arbeits- Und Übungsbuch Für Regelungstechnische Anwendungen
  • ISBN-10: 3528055782
  • Publisher Date: 29 Apr 1998


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