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International Conference for Emerging Technologies in Computing

iCETiC 2018: Emerging Technologies in Computing pp 199–208Cite as

A Novel Supervised Learning Model for Figures Recognition by Using Artificial Neural Network

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Abstract

Supervised learning has been considered as an important topic as it is used in different fields to exploit the advantages of artificial intelligence. This research introduces a new approach using Artificial neural networks (ANN) to supervise machine learning that enables the machine to recognize a figure via calculating values of angles of the figure, as well as area and length of the line. The research also introduces a processor that would be suitable for the algorithm that uses rotation techniques to specify the best situation in which the figure will be identified easily. This algorithm can be used in many fields such as military and medicine fields.

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Author information

Authors and Affiliations

  1. CCD, Department of Computer Science, Imam Abdulrahman Bin Faisal University, Dammam, 31441, Kingdom of Saudi Arabia

    Zeyad M. Alfawaer

  2. CSIT, Department of Computer Science, Irbid Private University, Irbid, Jordan

    Saleem Alzoubi

Authors
  1. Zeyad M. Alfawaer
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  2. Saleem Alzoubi
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Corresponding author

Correspondence to Zeyad M. Alfawaer .

Editor information

Editors and Affiliations

  1. University of Hong Kong, Hong Kong, Hong Kong

    Mahdi H. Miraz

  2. Wrexham Glyndwr University, Bradford, United Kingdom

    Peter Excell

  3. University of South Wales, Pontypridd, Mid Glamorgan, United Kingdom

    Andrew Ware

  4. AMA International University, Salmabad, Bahrain

    Safeeullah Soomro

  5. International Association of Educators and Researchers (IAER), London, United Kingdom

    Maaruf Ali

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Alfawaer, Z.M., Alzoubi, S. (2018). A Novel Supervised Learning Model for Figures Recognition by Using Artificial Neural Network. In: Miraz, M., Excell, P., Ware, A., Soomro, S., Ali, M. (eds) Emerging Technologies in Computing. iCETiC 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 200. Springer, Cham. https://doi.org/10.1007/978-3-319-95450-9_17

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  • DOI: https://doi.org/10.1007/978-3-319-95450-9_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95449-3

  • Online ISBN: 978-3-319-95450-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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