ALGORITMA BACK PROPAGATION NEURAL NETWORK UNTUK PENGENALAN POLA KARAKTER HURUF JAWA
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.
Penulis: Nazla Nurmila, Aris
Sugiharto, Eko Adi Sarwoko
Kode Jurnal: jptinformatikadd100019
