Identifikasi Unsur-Unsur Berdasarkan Spektrum Emisi Menggunakan Jaringan Syaraf Tiruan
ABSTRACT: Neural network
program for elements identification based on its emission spectrum has been
made using backpropagation method. The programming language which was used is
MATLAB 7.0. This neural network
has a single
hidden layer. Training
and testing data
are emission spectrum
data which are emission wavelength from each element. Training process was done
by introducing known emission spectrum data to neural network program. Neural network program has been successful to
identify elements based on its emission spectrum. Training process will be
faster if we adjust the number of hidden layer’s neuron as 100, the value of
learning rate as 0,049 and the value of momentum as 0,98. The neural network
accuracy of identifying elements is determined by the value of error target.
Error target. The value of target error abo ut 10-2has accuracy 97,14% and the
value of target error about 10-4has accuracy 100%.
Penulis: Eko Prasetyo, Much.
Azam, Jatmiko Endro Suseno
Kode Jurnal: jpmatematikadd070002
