Inversion Research On Rayleigh Wave Dispersion Features Combination Of Genetic Algorithm And Artificial Neural Network

Abstract

For the inversion of Rayleigh wave dispersion method has some insufficiencies, the introduction of the genetic algorithm with neural network inversion of Rayleigh wave dispersion curve. First, with the process of global searching of genetic algorithm to achieve target .Then use the results as parameters, and then apply neural network to local searching for optimal solution. The elastic formation model is used to study the process of the genetic algorithm and the neural network joint inversion Rayleigh wave dispersion curve. The calculation results show that the method uses genetic algorithms that are good at global search and local search ability of neural network algorithm strong advantages, speed up the rate of convergence and improve solution accuracy these achieved satisfactory results.