(JELIKU) Jurnal Elektronik Ilmu Komputer Udayana
Vol 8 No 4 (2020): JELIKU Volume 8 No 4, Mei 2020

OPTIMASI JARINGAN SYARAF TIRUAN MENGGUNAKAN ARTIFICIAL BEE COLONY PADA KLASIFIKASI PENGENALAN HURUF

Alit Indrawan, I Gusti Ngurah (Unknown)
Widiartha, I Made (Unknown)



Article Info

Publish Date
04 Feb 2020

Abstract

Artificial Neural Networks or commonly abbreviated as ANN is one branch of science from the field of artificial intelligence which is often used to solve various problems in fields that involve grouping and pattern recognition. This research aims to classify Letter Recognition datasets using Artificial Neural Networks which are weighted optimally using the Artificial Bee Colony algorithm. The best classification accuracy results from this study were 92.85% using a combination of 4 hidden layers with each hidden layer containing 10 neurons.

Copyrights © 2020






Journal Info

Abbrev

JLK

Publisher

Subject

Computer Science & IT

Description

Aim and Scope: JELIKU publishes original papers in the field of computer science, but not limited to, the following scope: Computer Science, Computer Engineering, and Informatics Computer Architecture Parallel and Distributed Computer Computer Network Embedded System Human—Computer Interaction ...