Research Article
A Novel Supervised Learning Model for Figures Recognition by Using Artificial Neural Network
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@INPROCEEDINGS{10.1007/978-3-319-95450-9_17, author={Zeyad Alfawaer and Saleem Alzoubi}, title={A Novel Supervised Learning Model for Figures Recognition by Using Artificial Neural Network}, proceedings={Emerging Technologies in Computing. First International Conference, iCETiC 2018, London, UK, August 23--24, 2018, Proceedings}, proceedings_a={ICETIC}, year={2018}, month={7}, keywords={Supervised learning Figures recognition Neural network}, doi={10.1007/978-3-319-95450-9_17} }- Zeyad Alfawaer
Saleem Alzoubi
Year: 2018
A Novel Supervised Learning Model for Figures Recognition by Using Artificial Neural Network
ICETIC
Springer
DOI: 10.1007/978-3-319-95450-9_17
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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