METHOD OF TRAINING EXAMPLES IN SOLVING INVERSE ILL-POSED PROBLEMS OF SPECTROSCOPY

METHOD OF TRAINING EXAMPLES IN SOLVING INVERSE ILL-POSED PROBLEMS OF SPECTROSCOPY

Subject of Study.The paper deals with further development of the method of computational experiments for solving ill-posed problems, e.g., the inverse spectroscopy problem. This method produces an effective (nonoverstated) estimate for solution error of the first-kind equation. Method of Research....

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Bibliographic Details
Main Authors: V. S. Sizikov, A. V. Stepanov
Format: Article
Language:English
Published: Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University) 2015-11-01
Series:Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki
Subjects:
ill-posed problems
Tikhonov regularization
solution error
method of training examples
inverse problem of spectroscopy
integral equation
spread function of spectral device
measured spectrum
training spectra
restored spectrum
Online Access:http://ntv.ifmo.ru/file/article/14114.pdf

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http://ntv.ifmo.ru/file/article/14114.pdf

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