MODEL NON-LINEAR PADA JARINGAN SARAF TIRUAN
DOI:
https://doi.org/10.25077/jmu.7.2.89-97.2018Abstract
Abstrak. Jaringan Saraf Tiruan merupakan model yang meniru cara kerja jaringansaraf secara biologi. Algoritma pembelajaran Jaringan Saraf Tiruan digunakan untuk
melatih jaringan secara iterasi sehingga bobot antar unit dapat disesuaikan dengan galat
yang ditentukan. Metode Backpropagation didesain untuk operasi pada jaringan feedfor-
ward dengan banyak lapisan sehingga memperoleh bobot jaringan dengan galat terke-
cil. Bobot tersebut digunakan untuk memodelkan data. Fungsi sigmoid digunakan pada
jaringan feedforward sehingga menghasilkan bobot yang berbentuk tidak linear. Bobot
yang berbentuk tidak linear membentuk model non-linear pada Jaringan Saraf Tiruan.
Kata Kunci: Jaringan Saraf Tiruan, Metode Backpropagation, Sigmoid, Feedforward
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