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

被引：0

作者：

Alfawaer, Zeyad M. ^{[1
]}

Alzoubi, Saleem ^{[2
]}

机构：

[1] Imam Abdulrahman Bin Faisal Univ, Dept Comp Sci, CCD, Dammam 31441, Saudi Arabia

[2] Irbid Private Univ, Dept Comp Sci, CSIT, Irbid, Jordan

来源：

EMERGING TECHNOLOGIES IN COMPUTING, ICETIC 2018 | 2018年 / 200卷

关键词：

Supervised learning; Figures recognition; Neural network; QUALITY;

D O I：

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

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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.

引用

页码：199 / 208

页数：10

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