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Paraconsistent Artificial Neural Networks and Aspects of Pattern Recognition

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Paraconsistent Intelligent-Based Systems

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 94))

Abstract

In this chapter we discuss about the use of Paraconsistent Artificial Neural Network on computer pattern recognition. Computer pattern recognition is one of the most important Artificial Intelligence tools present in numerous knowledge areas with applications in several themes, including character recognition. Our focus is the investigation of an automated computational process able to recognize numeric characters furnishing a technical basis to recognize digital images and documents. The methodology employed for the task is based on Paraconsistent Artificial Neural Networks for being a tool with the ability to work with imprecise, inconsistent and paracomplete data without trivialization.

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Correspondence to Sheila Souza .

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Souza, S., Abe, J.M. (2015). Paraconsistent Artificial Neural Networks and Aspects of Pattern Recognition. In: Abe, J. (eds) Paraconsistent Intelligent-Based Systems. Intelligent Systems Reference Library, vol 94. Springer, Cham. https://doi.org/10.1007/978-3-319-19722-7_9

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  • DOI: https://doi.org/10.1007/978-3-319-19722-7_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19721-0

  • Online ISBN: 978-3-319-19722-7

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