JENIE, Renan Prasta; HUSEIN, Irzaman; NURDIN, Naufal Muharram. MULTI FORMULATED REGRESSION SLIGHTLY OUTPERFORM BACK PROPAGATION ARTIFICIAL NEURAL NETWORK ON RECOGNISING GAUSSIAN RANDOMIZED TWO DIMENSIONAL DATA AS BLOOD GLUCOSE LEVEL NON INVASIVE MEASUREMENT MODEL. PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL), [S. l.], v. 6, p. SNF2017–CIP, 2017. DOI: 10.21009/03.SNF2017.02.CIP.03. Disponível em: https://journal.unj.ac.id/unj/index.php/prosidingsnf/article/view/4110. Acesso em: 3 nov. 2024.