Jurnal Masyarakat Informatika
Vol 1, No 1 (2010): Jurnal Masyarakat Informatika

ALGORITMA BACK PROPAGATION NEURAL NETWORK UNTUK PENGENALAN POLA KARAKTER HURUF JAWA

Nurmila, Nazla (Unknown)
Sugiharto, Aris (Unknown)
Sarwoko, Eko Adi (Unknown)

Article Info

Publish Date
12 Dec 2010

Abstract

Back Propagation Neural Network (BPNN) is a type of algorithm in Neural Network that can be use for Javanese alphabets character recognition. Matlab 7.1 has been used as a software to support the program. The main purpose of this research is order to find out BPNN’s training characteristic from each samples. On the other hand, this research also gives BPNN’s accurancy value in Javanese alphabets character recognition. The result of research shows that each part of the samples having different BPNN’s characteristic based on the best training.   Keywords : NN, BPNN

Copyrights © 2010




Citation Download
RIS
EndNote, Reference Manager, ProCite
BibTex
Latex, Jabref
Full PDF
385.588 KB
Original Source
Download Original
Google Scholar
Check in Google Scholar
Journal Info
Jurnal Masyarakat Informatika
Website

Abbrev

jmasif

Publisher

Universitas Diponegoro

Subject

Computer Science & IT

Description

JURNAL MASYARAKAT INFORMATIKA - JMASIF is a Journal published by the Department of Informatics, Universitas Diponegoro invites lecturers, researchers, students (Bachelor, Master, and Doctoral) as well as practitioners in the field of computer science and informatics to contribute to JMASIF in the ...