DINAMIKA DOTCOM
DINAMIKA DOTCOM VOL 9 NO 2 TAHUN 2018

KAJIAN IDENTIFIKASI MODEL DIAGNOSIS NEUROBLASTOMA DENGAN METODE BACKPROPAGATION DAN PRINCIPAL COMPONENT ANALYSIS

Hayat, Cynthia ( Faculty of Engineering and Computer Science Krida Wacana Christian University, Jakarta, Indonesia)
Fredicia, Fredicia ( Faculty of Engineering and Computer Science Krida Wacana Christian University, Jakarta, Indonesia)



Article Info

Publish Date
31 Jul 2018

Abstract

Neuroblastoma is a type of embryonal cancer of the nervous system that is mostly found in children. Most etiologies of neuroblastoma are unknown, so many patients undergo treatment at an advanced stage. The importance of detection as early as possible is very necessary in neuroblastoma cancer so that children diagnosed with neuroblastoma can get a good prognosis. Through this study, it is expected to be able to know the feasibility of research with regard to artificial neural network procedures and the proposed PCA method. In this case the desired model is a set of training faces that will be formed through a linear combination in the training Propagation phase using backpropagation artificial neural network algorithms. In this case the desired model is a set of training faces that will be formed through a linear combination in the training Propagation phase using backpropagation artificial neural network algorithm. Backpropagation training by conducting feed-forward from input training patterns, calculations, related errors, and weighting settings based on previous weightsKeywords:  literature study, identification, backpropagation, PCA

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Journal Info

Abbrev

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management

Description

Jurnal DINAMIKA DOTCOM merupakan jurnal pengembangan bidang ilmu Manajemen, Informatika dan Komputer yang diterbitkan 2 kali setahun (Januari dan Juli) oleh Lembaga Penerbitan STMIK PPKIA Pradnya Paramita Malang Redaksi menerima kiriman naskah dari para penulis (peneliti, dosen, professional dan ...