GLOBAL INVERSION BY GENETIC ALGORITHMS FOR BOTH SOURCE POSITION AND ENVIRONMENTAL PARAMETERS

1 September 1994

journal article
Published by World Scientific Pub Co Pte Ltd in Journal of Computational Acoustics

Vol. 2 (3) , 251-266
https://doi.org/10.1142/s0218396x94000178

Abstract

The data set from the Workshop on Acoustic Models in Signal Processing (May 1993) is inverted in order to find both the environmental parameters and the source position, Genetic algorithms are used for the optimization. When using genetic algorithms the responses from many environmental parameter sets are computed in order to estimate the solution. All these samples of the parameter space are used to estimate the a posteriori probabilities of the model parameters. Thus the uniqueness and uncertainty of the model parameters are assessed.

Keywords

RESPONSES FROM MANY ENVIRONMENTAL
GENETIC ALGORITHMS
SOURCE POSITION
UNCERTAINTY OF THE MODEL
GLOBAL INVERSION
POSTERIORI PROBABILITIES

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