PARTICLE SWARM OPTIMIZATION SEBAGAI PENENTU NILAI BOBOT PADA ARTIFICIAL NEURAL NETWORK BERBASIS BACKPROPAGATION UNTUK PREDIKSI TINGKAT PENJUALAN MINYAK PELUMAS PERTAMINA

The lubricating oil industry is one part of the oil and gas sector which is still one of the main pillars of economic growth in Indonesia. Sales predictions are needed by companies and policy makers as planning materials and economic development strategies to increase income in the future. Predictio...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Päätekijä: Muhammad Ali Ridla
Aineistotyyppi: Artigo
Kieli:Indonésio
Julkaistu: Fakultas Sains dan Teknologi, Universitas Ibrahimy 2018-06-01
Sarja:Jurnal Ilmiah Informatika
Aiheet:
forecasting sales
neural network
attribute weight
pso
Linkit:https://journal.ibrahimy.ac.id/index.php/JIMI/article/view/473/458
Tagit: Lisää tagi
Ei tageja, Lisää ensimmäinen tagi!

Samankaltaisia teoksia