摘要
As an important branch of geophysical inversion, non-linear inversion method has played a unique role in geophysical inversion. This paper tried to achieve high density resistivity two-dimensional non-linear inversion by using the joint calculus of BP neural network optimization method and ant colony algorithm. A comparison of the results revealed that the ABP method is much better than BP neural network inversion method, the former can overcome the deficiencies of BP neural network inversion method, reduce the number of iterations, save computing time and finally obtain a better inversion result.