ELECTRANS
Vol 14, No 1 (2016): Volume 14, Nomor 1, Tahun 2016

Analisis Variasi Parameter Backpropagation Artificial Neural Network dan Principal Component Analysis Terhadap Sistem Pengenalan Wajah

Ikhwannul Kholis (Universitas 17 Agustus 1945 Jl. Sunter Permai Raya, Jakarta Utara 14350)
Syah Alam (Universitas 17 Agustus 1945 Jl. Sunter Permai Raya, Jakarta Utara 14350)

Article Info

Publish Date
12 Jun 2016

Abstract

Face recognition can be done by using Backpropagation Artificial Neural Network (ANN) and Principal Component Analysis (PCA). ANN is made to resemble the human neural system. By varying some parameters on backpropagation, backpropagation characteristics is known to minimize errors and epoch and enlarge Recognition Rate. The experimental results show the relationship between the parameters of eigenvalues, alpha, and coefficient of momentum, against the recognition rate obtained.

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Journal Info
ELECTRANS
Website

Abbrev

electrans

Publisher

Universitas Pendidikan Indonesia

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

Menerbitkan makalah-makalah original dalam bidang teknik elektro dan elektronika. Tim redaksi menerima kontribusi yang mendasar untuk pengembangan keilmuan teknik elektro dan aplikasinya, baik hasil riset teoritis ataupun ...