Title :
Using neural networks to quantitatively analyze absorption spectra of aqueous solutions
Author :
Kuzniz, T. ; Tur, M. ; Mignani, A.G.
Abstract :
To keep the environment clean it is vital to develop in-situ techniques for the detection and identification of toxic pollutants. An European project aims at utilizing spectroscopy and neural networks (NN) in a portable instrument to detect pollutants in aqueous solutions. We present NN-assisted quantitative analysis of absorption spectra of laboratory mixed aqueous solutions of chromium, copper and sulfide
Keywords :
neural nets; pollution; portable instruments; spectrochemical analysis; spectrometers; spectroscopy computing; absorption spectra; aqueous solutions; chromium; copper; laboratory mixed aqueous solutions; neural networks; portable instrument; spectroscopy; sulfide; toxic pollutants detection; toxic pollutants identification; Absorption; Chromium; Copper; Instruments; Laboratories; Neural networks; Pollution; Spectroscopy; Vectors; Wavelength measurement;
Conference_Titel :
Electrical and electronic engineers in israel, 2000. the 21st ieee convention of the
Conference_Location :
Tel-Aviv
Print_ISBN :
0-7803-5842-2
DOI :
10.1109/EEEI.2000.924476
