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

Kholis, Ikhwannul, Alam, Syah

Article Info

Publish Date
12 Jun 2016


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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