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- E-ISSN 2288-8985
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Analysis of Toxic Heavy Meatals using Hybrid Neural Network in Glow Discharge Atomic Emission Spectroscoy
Analytical Science and Technology / Analytical Science and Technology, (P)1225-0163; (E)2288-8985
2002, v.15 no.5, pp.399-409
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(2002). Analysis of Toxic Heavy Meatals using Hybrid Neural Network in Glow Discharge Atomic Emission Spectroscoy. Analytical Science and Technology, 15(5), 399-409.
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Abstract
A system software on-line spectral analysis of atomic emission spectrometer. The system program consisted of a control part for the optical instruments and the spectrum analysis part the artificial intelligence method to reduce nonlinear error of the wavelengths. McPHERSON 207 Monochromator controlled GPIB communication protocol, and the detector signal was measured from PMT by using A/D Amplifier that was made by Photon_Tek. co.. HNN(Hybrid Neural Network) of artificial intelligence technique was applied to the qualitative analysis of P, Cu, Fe, Cr, and that was accurately applied to the quantitative analysis of Cd with 10 ppb level better than the conventional methods.
- keywords
- hybrid neural network, spectrum analysis program, glow discharge-atomic emission spectrometry
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