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Proceedings Paper

Function Minimisation With Partially Correct Data Via Simulated Annealing
Author(s): Jean J. Lorre
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Paper Abstract

The simulated annealing technique has been applied successfully to the problem of estimating the coefficients of a function in cases where only a portion of the data being fitted to the function is truly representative of the function, the rest being erroneous. Two examples are given, one in photometric function fitting and the other in pattern recognition. A schematic of the algorithm is provided.

Paper Details

Date Published: 16 December 1988
PDF: 6 pages
Proc. SPIE 0974, Applications of Digital Image Processing XI, (16 December 1988); doi: 10.1117/12.948483
Show Author Affiliations
Jean J. Lorre, Jet Propulsion Laboratory (United States)

Published in SPIE Proceedings Vol. 0974:
Applications of Digital Image Processing XI
Andrew G. Tescher, Editor(s)

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