Open AccessPrediksi Jumlah Kasus COVID-19 Menggunakan Teknik Sliding Wondows dengan Metode BPNN
Author(s) -
Alpolinaris Edius Radho,
Putu Sugiartawan,
Gede Agus Santiago
Publication year - 2022
Publication title -
jurnal sistem informasi dan komputer terapan indonesia (jsikti)
Language(s) - Uncategorized
Resource type - Journals
eISSN - 2655-7290
pISSN - 2655-2183
DOI - 10.33173/jsikti.123
Subject(s) - backpropagation , sliding window protocol , covid-19 , artificial neural network , computer science , value (mathematics) , layer (electronics) , window (computing) , statistics , artificial intelligence , data mining , mathematics , machine learning , disease , medicine , chemistry , organic chemistry , pathology , infectious disease (medical specialty) , operating system
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