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

Zeyad M. Alfawaer; Saleem Alzoubi

doi:10.1007/978-3-319-95450-9_17

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Book chapter

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

Zeyad M. Alfawaer and Saleem Alzoubi

Emerging Technologies in Computing, pp.199-208

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Springer International Publishing

20/07/2018

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

Abstract

Figures recognition

Neural network

Supervised learning

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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Details

Title: A Novel Supervised Learning Model for Figures Recognition by Using Artificial Neural Network
Creators - without role: Zeyad M. Alfawaer - Imam Abdulrahman Bin Faisal University
Saleem Alzoubi - Irbid National University
Publication Details: Emerging Technologies in Computing, pp.199-208
Series: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Publisher: Springer International Publishing; Cham
Identifiers: 9915346608331
Academic Unit: Imam Abdulrahman Bin Faisal University
Language: English
Resource Type: Book chapter