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%.
Key words: Neural network, backpropagation method, and emission spectrum
Penulis: Eko Prasetyo, Much. Azam, Jatmiko Endro Suseno
Kode Jurnal: jpmatematikadd070002

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Jp Matematika dd 2007