Inversion of Seismo Acoustic Real Data Using Genetic Algorithms

Abstract

An inversion scheme for the estimation of the physical parameters of marine sediments from the pressure field measured in the water column, is presented. It is based on a global optimization technique called Genetic Algorithms. This report presents results obtained on synthetic and real data. An analysis of the uncertainties of the results is carried out to assess the realiability of the inversion.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1994
Accession Number
AD1119617

Entities

People

  • M Lambert

Organizations

  • NATO

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Acoustic Measurement
  • Acoustics
  • Algorithms
  • Attenuation
  • Differential Equations
  • Frequency
  • Genetic Algorithms
  • Inverse Problems
  • Measurement
  • Monte Carlo Method
  • Probability
  • Probability Distributions
  • Seabed
  • Shallow Water
  • Simulations
  • Wave Propagation
  • Waves

Fields of Study

  • Engineering
  • Physics

Readers

  • Acoustical Oceanography.
  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms
  • Biotechnology
  • Biotechnology - Bioremediation