ALGORITMA BACK PROPAGATION NEURAL NETWORK UNTUK PENGENALAN POLA KARAKTER HURUF JAWA

Nazla Nurmila; Aris Sugiharto; Eko Adi Sarwoko

doi:10.14710/jmasif.1.1.74

DOI: https://doi.org/10.14710/jmasif.1.1.74

ALGORITMA BACK PROPAGATION NEURAL NETWORK UNTUK PENGENALAN POLA KARAKTER HURUF JAWA

Nazla Nurmila , Aris Sugiharto, Eko Adi Sarwoko

Received: 21 Oct 2010; Published: 12 Dec 2010.

Editor(s): sutikno editor

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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

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Section: Research Article

Language : EN

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

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