Penggunaan Sifat Pengingat Asosiatif Pada Jaringan Syaraf Tiruan Hopfield Diskret Untuk Pemulihan Data
Abstract: This research
concern with application of discrete Hopfield neural networks for recovering
data. Using associative memories properties of discrete Hopfield neural
networks we can store a set of data patterns as a memories. The basic concepts
of using discrete Hopfield neural networks as associative memories is to
interpret the system’s neurons evolution as a movement of input pattern toward
the one stored pattern most resembling the input pattern. The result shows that
the application could recover false data to its origin.
Penulis: Agung Mubyarto
Kode Jurnal: jptindustridd090074
