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All Journal ELECTRANS
Ikhwannul Kholis
Universitas 17 Agustus 1945 Jl. Sunter Permai Raya, Jakarta Utara 14350
Computer Science & IT Electrical & Electronics Engineering

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Analisis Variasi Parameter Backpropagation Artificial Neural Network dan Principal Component Analysis Terhadap Sistem Pengenalan Wajah Ikhwannul Kholis; Syah Alam
ELECTRANS Vol 14, No 1 (2016): Volume 14, Nomor 1, Tahun 2016
Publisher : Universitas Pendidikan Indonesia

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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.
Co-Authors Syah Alam