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The instant laboratory: Bringing intelligence to the workfloor

  • Neural Networks for Perception
  • Conference paper
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Biological and Artificial Computation: From Neuroscience to Technology (IWANN 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1240))

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Abstract

Neural networks can be applied for a number of innovative applications in a production environment, ranging from security & safety in the environmental conditions to the product control & diagnosis. Forvisualmonitoring the use of lowresolution images is promising to bridge the time elapse between more elaborous stampings. This facility for biologically motivated decision-making is illustrated by two real-life applications: stain detection and mixture diagnosis.

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References

  1. J.A.G. Nijhuis,M.H. terBrugge,K.A. Helmholt,J.P.W. Pluim,L. Spaanenburg,R.S. Venema, and M.A. Westenberg, “Car License Plate Recognition with Neural Networks and Fuzzy Logic”, Proceedings ICNN'95 V (Perth, Australia) pp. 2232–2236, 1995.

    Google Scholar 

  2. R. Krol, “Ontwikkeling van Cellulaire Neurale Netwerken voor Passagiers-telsystemen” (in Dutch), PhD-thesis (Rijksuniversiteit Groningen, Groningen, The Netherlands), 1995.

    Google Scholar 

  3. J.S. Weszka, C.R. Dyer and A. Rosenfeld, 1976. ”A Comparative Study of Texture Measurements for Terrain Classification”, IEEE Transactions on Systems, Man and Cybernetics 6, no. 4, pp. 269–285.

    Google Scholar 

  4. R.M. Haralick, K. Shanmugam, and I. Dinstein, 1973. “Textural Features for Image Classification, IEEE Transactions on Systems, Man and Cybernetics 3, no. 6, pp. 610–621.

    Google Scholar 

  5. B. Breznen, “Place-to-time code transformation during saccades, Proceedings ESANN'93 (Bruxelles, Bergium) pp. 117–122, 1993.

    Google Scholar 

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Authors and Affiliations

  1. Dept. of Computing Science, Rijksuniversiteit Groningen, P.O.Box 800, 9700, AV Groningen, The Netherlands

    L. Spaanenburg, J. deGraaf, J. A. G. Nijhuis, H. Stevens & W. Wichers

Authors
  1. L. Spaanenburg
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  2. J. deGraaf
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  3. J. A. G. Nijhuis
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  4. H. Stevens
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  5. W. Wichers
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Editor information

José Mira Roberto Moreno-Díaz Joan Cabestany

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© 1997 Springer-Verlag Berlin Heidelberg

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Spaanenburg, L., deGraaf, J., Nijhuis, J.A.G., Stevens, H., Wichers, W. (1997). The instant laboratory: Bringing intelligence to the workfloor. In: Mira, J., Moreno-Díaz, R., Cabestany, J. (eds) Biological and Artificial Computation: From Neuroscience to Technology. IWANN 1997. Lecture Notes in Computer Science, vol 1240. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0032564

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  • DOI: https://doi.org/10.1007/BFb0032564

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63047-0

  • Online ISBN: 978-3-540-69074-0

  • eBook Packages: Springer Book Archive

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