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Paraconsistent Artificial Neural Network: An Application in Cephalometric Analysis

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Abstract

Paraconsistent artificial neural network (PANN) is a mathematical structure based on paraconsistent logic, which allows dealing with uncertainties and contradictions. In this paper we propose an application of PANN to analyze cephalometric measurements in order to support orthodontics diagnostics. Orthodontic and cephalometrical analysis taking into account several uncertainties and contradictions, ideal scenario to be treated by paraconsistent approach.

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© 2005 Springer-Verlag Berlin Heidelberg

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Abe, J.M., Ortega, N.R.S., Mário, M.C., Del Santo, M. (2005). Paraconsistent Artificial Neural Network: An Application in Cephalometric Analysis. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552451_98

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  • DOI: https://doi.org/10.1007/11552451_98

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28895-4

  • Online ISBN: 978-3-540-31986-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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