Function Minimisation With Partially Correct Data Via Simulated Annealing

Jean J. Lorre

doi:10.1117/12.948483

16 December 1988 Function Minimisation With Partially Correct Data Via Simulated Annealing

Jean J. Lorre

Proceedings Volume 0974, Applications of Digital Image Processing XI; (1988) https://doi.org/10.1117/12.948483
Event: 32nd Annual International Technical Symposium on Optical and Optoelectronic Applied Science and Engineering, 1988, San Diego, CA, United States

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.

Citation Download Citation

Jean J. Lorre "Function Minimisation With Partially Correct Data Via Simulated Annealing", Proc. SPIE 0974, Applications of Digital Image Processing XI, (16 December 1988); https://doi.org/10.1117/12.948483

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