Peningkatan Efisiensi Penggunaan Bahan Bakar Kendaraan Bermotor Dengan Melakukan Pencarian Jarak Terdekat Menggunakan Jaringan Syaraf Tiruan Hopfield Di Wilayah Purwokerto

Autor:	Agung Mubyarto, Hesti Susilawati
Jazyk:	indonéština
Rok vydání:	2010
Předmět:	fuel efficiency Hopfield neural networks shortest path routing. Engineering (General). Civil engineering (General) TA1-2040
Zdroj:	Dinamika Rekayasa, Vol 6, Iss 1, Pp 19-25 (2010)
Druh dokumentu:	article
ISSN:	1858-3075 2527-6131
Popis:	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
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/a78b2ded11b5451aac6c31984601b474 Zobrazit plný text záznamu View record in DOAJ