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Application of Artificial Neural Networks for Different Engineering Problems

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SOFSEM’99: Theory and Practice of Informatics (SOFSEM 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1725))

Abstract

This paper presents some applications of data and signal processing using artificial neural nets (ANNs) which have been investigated at the University of Tübingen. The applications covering a wide range of different interesting domains: color restoration, gas sensing systems, internet information search and delivery, online quality control and nerve signal processing. The paper presents each application in detail and describes the problems which have been solved.

Acknowledgment

The authors like to thank Alexei Babanine, Thomas Hermle, Udo Heuser and Lothar Ludwig from Wilhelm-Schickard-Institut für Informatik, Technische Informatik, Universität Tübingen for their contributions to this paper.

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Bogdan, M., Rosenstiel, W. (1999). Application of Artificial Neural Networks for Different Engineering Problems. In: Pavelka, J., Tel, G., Bartošek, M. (eds) SOFSEM’99: Theory and Practice of Informatics. SOFSEM 1999. Lecture Notes in Computer Science, vol 1725. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47849-3_17

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  • DOI: https://doi.org/10.1007/3-540-47849-3_17

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  • Print ISBN: 978-3-540-66694-3

  • Online ISBN: 978-3-540-47849-2

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