DocumentCode
1745651
Title
Using neural networks to quantitatively analyze absorption spectra of aqueous solutions
Author
Kuzniz, T. ; Tur, M. ; Mignani, A.G.
fYear
2000
fDate
2000
Firstpage
468
Lastpage
471
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/EEEI.2000.924476
Filename
924476
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