Paper Info
Title
Solution of Inverse Problems in Laser Spectroscopy of Water Media with the Help of Neural Networks
Abstract
Two methodological approaches to inverse problems solu- tion with the help of neural networks are considered: "ex- periment-based" and "model-based". Their merits, draw- backs, and characteristics of their use are discussed. Suc- cessful application of neural networks for solution of three inverse problems in laser spectroscopy of water media is re- ported: (1) simultaneous determination of sea water tem- perature and salinity from Raman spectra, (2) determination of contributions for components of an organic compounds mixture in water from their fluorescence spectra, and (3) determination of molecular parameters of organic com- pounds from fluorescence saturation curves.
Year
Venue
Keywords
2001
FLAIRS Conference
neural networks,water media,laser spectroscopy,inverse problems,inverse problem,raman spectra,neural network,sea water
Field
DocType
ISBN
Saturation (chemistry),Biological system,Computer science,Fluorescence,Seawater,Artificial intelligence,Inverse problem,Artificial neural network,Raman spectroscopy,Spectroscopy,Temperature salinity diagrams,Machine learning
Conference
1-57735-133-9
Citations 
PageRank 
References 
0
0.34
2
Authors
7
Name
Order
Citations
PageRank
S. A. Dolenko145.56
I. V. Boychuk200.34
I. V. Churina300.34
Tatiana Dolenko422.14
V. V. Fadeev500.34
I. G. Persiantsev622.20
Brian Carse725926.31