Peningkatan Efisiensi Penggunaan Bahan Bakar Kendaraan Bermotor Dengan Melakukan Pencarian Jarak Terdekat Menggunakan Jaringan Syaraf Tiruan Hopfield Di Wilayah Purwokerto
Abstract: This proposed
research concern with application of continuous Hopfield neural networks for
shortest path routing in a given map, in this case Purwokerto city’s map had
choosen as an example. The method that was used in this research based on the ability
of continuous Hopfield neural networks for representing their neuron as choosen
vertices in the given map. The result shows that the networks can produce
optimal route for such source and destination node pairs. As the product of
this research, we have knowledge about the shortest way from one to another
location at Purwokerto, so we can increase the efficiency on fuel use by using
this route
Penulis: Agung Mubyarto, Hesti
Susilawati
Kode Jurnal: jptindustridd100087
