The Determining Gender Using Facial Recognition Based On Neural Network With Backpropagation

Data Science: Journal of Computing and Applied Informatics

View Publication Info
 
 
Field Value
 
Title The Determining Gender Using Facial Recognition Based On Neural Network With Backpropagation
 
Creator Fauziah, Fauziah
 
Description One area of science that can apply facial recognition applications is artificial intelligence. The algorithms used in facial recognition are quite numerous and varied, but they all have the same three basic stages, face detection, facial extraction and facial recognition (Face Recognition) . Facial recognition applications using artificial intelligence as a major component, especially artificial neural networks for processing and facial identification are still not widely encountered. Ba ckpropagation is a learning algorithm to minimize the error rate by adjusting the weights based on the desired output and target differences. The test results of 30 images have the average value of mse is 0.14796 and the best value of mse on the test of man number 3 with mse value 0.1488 and mean 0.0047 while for the female number 2 with mse value 0.1497 and niali mean 0.0047.
 
Publisher Talenta Publisher
 
Date 2018-02-01
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://talenta.usu.ac.id/index.php/JoCAI/article/view/96
10.32734/jocai.v2.i1-96
 
Source Data Science: Journal of Computing and Applied Informatics; Vol 2 No 1 (2018): Data Science: Journal of Computing and Applied Informatics (JoCAI); 53-61
2580-829X
2580-6769
 
Language eng
 
Relation https://talenta.usu.ac.id/index.php/JoCAI/article/view/96/77
 
Rights Copyright (c) 2018 Journal of Computing and Applied Informatics
 

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